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(2014).", "topics": [ "gdistremoval" ] }, { "page": "gdistsamp", "title": "Fit the generalized distance sampling model of Chandler et al. (2011).", "topics": [ "gdistsamp" ] }, { "page": "getB-methods", "title": "Methods for Function getB in Package `unmarked'", "topics": [ "getB", "getB,unmarkedFitOccuFP-method", "getB-methods" ] }, { "page": "getFP-methods", "title": "Methods for Function getFP in Package `unmarked'", "topics": [ "getFP", "getFP,unmarkedFitOccuFP-method", "getFP-methods" ] }, { "page": "getP", "title": "Get detection probability matrix from a fitted model", "topics": [ "getP", "getP,unmarkedFit-method" ] }, { "page": "getStarts", "title": "Get order of starting values for an unmarked model", "topics": [ "getStarts" ] }, { "page": "gf", "title": "Green frog count index data", "topics": [ "gf", "gf.data", "gf.obs" ] }, { "page": "gmultmix", "title": "Generalized multinomial N-mixture model", "topics": [ "gmultmix" ] }, { "page": "goccu", "title": "Fit the multi-scale occupancy model of Nichols et al. (2008)", "topics": [ "goccu" ] }, { "page": "gpcount", "title": "Generalized binomial N-mixture model for repeated count data", "topics": [ "gpcount" ] }, { "page": "IDS", "title": "Fit the integrated distance sampling model of Kery et al. (2022).", "topics": [ "hist,unmarkedFitIDS-method", "IDS", "names,unmarkedFitIDS-method" ] }, { "page": "issj", "title": "Distance-sampling data for the Island Scrub Jay (_Aphelocoma insularis_)", "topics": [ "issj" ] }, { "page": "jay", "title": "European Jay data from the Swiss Breeding Bird Survey 2002", "topics": [ "jay" ] }, { "page": "lambda2psi", "title": "Convert Poisson mean (lambda) to probability of occurrence (psi).", "topics": [ "lambda2psi" ] }, { "page": "linearComb-methods", "title": "Methods for Function linearComb in Package `unmarked'", "topics": [ "linearComb", "linearComb,unmarkedEstimate,matrixOrVector-method", "linearComb,unmarkedFit,matrixOrVector-method", "linearComb-methods", "show,unmarkedLinComb-method" ] }, { "page": "linetran", "title": "Simulated line transect data", "topics": [ "linetran" ] }, { "page": "makePiFuns", "title": "Create functions to compute multinomial cell probabilities", "topics": [ "makeCrPiFun", "makeCrPiFunMb", "makeCrPiFunMh", "makePiFuns", "makeRemPiFun" ] }, { "page": "mallard", "title": "Mallard count data", "topics": [ "mallard", "mallard.obs", "mallard.site", "mallard.y" ] }, { "page": "masspcru", "title": "Massachusetts North American Amphibian Monitoring Program Data", "topics": [ "masspcru" ] }, { "page": "MesoCarnivores", "title": "Occupancy data for coyote, red fox, and bobcat", "topics": [ "MesoCarnivores" ] }, { "page": "modSel", "title": "Model selection on a list of 'unmarked' model fits", "topics": [ "modSel" ] }, { "page": "multinomPois", "title": "Multinomial-Poisson Mixtures Model", "topics": [ "multinomPois" ] }, { "page": "multmixOpen", "title": "Open population multinomial N-mixture model", "topics": [ "multmixOpen" ] }, { "page": "nmixTTD", "title": "Fit the N-mixture Time-to-detection Model of Strebel et al. (2021)", "topics": [ "nmixTTD" ] }, { "page": "nonparboot", "title": "Get non-parametric bootstrap samples from an 'unmarked' model", "topics": [ "nonparboot", "nonparboot,unmarkedFit-method", "nonparboot-methods" ] }, { "page": "occu", "title": "Fit the MacKenzie et al. (2002) Occupancy Model", "topics": [ "occu" ] }, { "page": "occuComm", "title": "Fit a community occupancy model with species-level random effects", "topics": [ "occuComm" ] }, { "page": "occuCOP", "title": "Fit the occupancy model using count data", "topics": [ "occuCOP" ] }, { "page": "occuFP", "title": "Fit occupancy models when false positive detections occur (e.g., Royle and Link [2006] and Miller et al. [2011])", "topics": [ "occuFP" ] }, { "page": "occuMS", "title": "Fit Multi-State Occupancy Models (Nichols et al. 2007, MacKenzie et al. 2009)", "topics": [ "occuMS" ] }, { "page": "occuMulti", "title": "Fit the multi-species occupancy model of Rota et al. (2016)", "topics": [ "occuMulti" ] }, { "page": "occuPEN", "title": "Fit the MacKenzie et al. (2002) Occupancy Model with the penalized likelihood methods of Hutchinson et al. (2015)", "topics": [ "occuPEN" ] }, { "page": "occuPEN_CV", "title": "Fit the MacKenzie et al. (2002) Occupancy Model with the penalized likelihood methods of Hutchinson et al. (2015) using cross-validation", "topics": [ "occuPEN_CV" ] }, { "page": "occuRN", "title": "Fit the occupancy model of Royle and Nichols (2003)", "topics": [ "occuRN" ] }, { "page": "occuTTD", "title": "Fit Single-Season and Dynamic Time-to-detection Occupancy Models", "topics": [ "occuTTD" ] }, { "page": "optimizePenalty-methods", "title": "Identify Optimal Penalty Parameter Value", "topics": [ "optimizePenalty", "optimizePenalty,unmarkedFitOccuMulti-method", "optimizePenalty-methods" ] }, { "page": "ovendata", "title": "Removal data for the Ovenbird", "topics": [ "ovendata", "ovendata.list" ] }, { "page": "parboot", "title": "Parametric bootstrap for 'unmarked' models", "topics": [ "parboot", "parboot,unmarkedFit-method", "plot,parboot,missing-method", "show,parboot-method" ] }, { "page": "pcount", "title": "Fit the N-mixture model of Royle (2004)", "topics": [ "pcount" ] }, { "page": "pcount.spHDS", "title": "Fit spatial hierarchical distance sampling model.", "topics": [ "pcount.spHDS" ] }, { "page": "pcountOpen", "title": "Fit the open N-mixture models of Dail and Madsen (2011) and Hostetler and Chandler (2015)", "topics": [ "pcountOpen" ] }, { "page": "piFuns", "title": "Compute multinomial cell probabilities", "topics": [ "doublePiFun", "piFuns", "removalPiFun" ] }, { "page": "plotEffects", "title": "Plot marginal effects of covariates in unmarked models", "topics": [ "plotEffects", "plotEffects,unmarkedFit-method", "plotEffects-methods", "plotEffectsData", "plotEffectsData,unmarkedFit-method", "plotEffectsData-methods" ] }, { "page": "pointtran", "title": "Simulated point-transect data", "topics": [ "pointtran" ] }, { "page": "posteriorSamples", "title": "Draw samples from the posterior predictive distribution", "topics": [ "posteriorSamples", "posteriorSamples,unmarkedFit-method", "posteriorSamples,unmarkedRanef-method", "posteriorSamples-methods", "show,unmarkedPostSamples-method", "unmarkedPostSamples-class", "[,unmarkedPostSamples,ANY,ANY,ANY-method" ] }, { "page": "powerAnalysis", "title": "Conduct a power analysis for an 'unmarked' model", "topics": [ "powerAnalysis", "powerAnalysis,list-method", "powerAnalysis,unmarkedFit-method", "powerAnalysis,unmarkedFrame-method" ] }, { "page": "predict", "title": "Predict from fitted models and other unmarked objects", "topics": [ "predict", "predict,unmarkedFit-method", "predict,unmarkedFitList-method", "predict,unmarkedFitOccuMS-method", "predict,unmarkedFitOccuMulti-method", "predict,unmarkedRanef-method" ] }, { "page": "randomTerms", "title": "Extract estimates of random effect terms", "topics": [ "randomTerms", "randomTerms,unmarkedEstimate-method", "randomTerms,unmarkedFit-method", "randomTerms-methods" ] }, { "page": "ranef", "title": "Estimate posterior distributions of latent occupancy or abundance", "topics": [ "ranef", "ranef,unmarkedFit-method" ] }, { "page": "residuals", "title": "Calculate residuals from a model", "topics": [ "residuals", "residuals,unmarkedFit-method" ] }, { "page": "richness", "title": "Estimate posterior distributions of site richness", "topics": [ "richness", "richness,unmarkedFitOccuComm-method" ] }, { "page": "SE-methods", "title": "Methods for Function SE in Package `unmarked'", "topics": [ "SE", "SE,linCombOrBackTrans-method", "SE,unmarkedEstimate-method", "SE,unmarkedFit-method", "SE-methods" ] }, { "page": "shinyPower", "title": "Launch a Shiny app to help with power analysis", "topics": [ "shinyPower" ] }, { "page": "sigma", "title": "Extract estimates of random effect standard deviations", "topics": [ "sigma", "sigma,unmarkedEstimate-method", "sigma,unmarkedFit-method", "sigma-methods" ] }, { "page": "simulate", "title": "Simulate datasets from any 'unmarked' model type", "topics": [ "simulate", "simulate,character-method", "simulate,unmarkedFit-method", "simulate,unmarkedFrame-method" ] }, { "page": "SSE", "title": "Compute Sum of Squared Residuals for a Model Fit.", "topics": [ "SSE", "SSE,unmarkedFit-method", "SSE,unmarkedFitGDR-method", "SSE,unmarkedFitIDS-method", "SSE,unmarkedFitOccuComm-method", "SSE,unmarkedFitOccuMulti-method", "SSE-methods" ] }, { "page": "Switzerland", "title": "Swiss landscape data", "topics": [ "Switzerland" ] }, { "page": "unmarkedEstimate-class", "title": "Class \"unmarkedEstimate\"", "topics": [ "show,unmarkedEstimate-method", "summary,unmarkedEstimate-method", "unmarkedEstimate", "unmarkedEstimate-class" ] }, { "page": "unmarkedEstimateList-class", "title": "Class \"unmarkedEstimateList\"", "topics": [ "names,unmarkedEstimateList-method", "show,unmarkedEstimateList-method", "summary,unmarkedEstimateList-method", "unmarkedEstimateList-class" ] }, { "page": "unmarkedFit-class", "title": "Class \"unmarkedFit\"", "topics": [ "getData", "getData,unmarkedFit-method", "getY,unmarkedFit-method", "hist,unmarkedFitDS-method", "logLik", "logLik,unmarkedFit-method", "LRT", "LRT,unmarkedFit,unmarkedFit-method", "names,unmarkedFit-method", "plot,profile,missing-method", "plot,unmarkedFit,missing-method", "profile,unmarkedFit-method", "projected", "projected,unmarkedFitColExt-method", "sampleSize", "sampleSize,unmarkedFit-method", "smoothed", "smoothed,unmarkedFitColExt-method", "summary,unmarkedFit-method", "unmarkedFit", "unmarkedFit-class", "update,unmarkedFit-method" ] }, { "page": "unmarkedFitList-class", "title": "Class \"unmarkedFitList\"", "topics": [ "coef,unmarkedFitList-method", "modSel,unmarkedFitList-method", "SE,unmarkedFitList-method", "summary,unmarkedFitList-method" ] }, { "page": "unmarkedFrame", "title": "Create an unmarkedFrame, or one of its child classes.", "topics": [ "unmarkedFrame" ] }, { "page": "unmarkedFrame-class", "title": "Class \"unmarkedFrame\"", "topics": [ "getY", "getY,unmarkedFrame-method", "getY,unmarkedFrameOccuMulti-method", "head,unmarkedFrame-method", "hist,unmarkedFrameDS-method", "numSites", "numSites,unmarkedFrame-method", "numY", "numY,unmarkedFrame-method", "obsCovs", "obsCovs,unmarkedFrame-method", "obsCovs<-", "obsCovs<-,unmarkedFrame-method", "obsNum", "obsNum,unmarkedFrame-method", "obsToY", "obsToY,unmarkedFrame-method", "obsToY<-", "obsToY<-,unmarkedFrame-method", "plot,unmarkedFrame,missing-method", "plot,unmarkedFrameOccuComm,missing-method", "plot,unmarkedFrameOccuMulti,missing-method", "plot,unmarkedFrameOccuTTD,missing-method", "show,unmarkedFrame-method", "show,unmarkedFrameOccuCOP-method", "show,unmarkedFrameOccuMulti-method", "show,unmarkedFrameOccuTTD-method", "show,unmarkedMultFrame-method", "siteCovs", "siteCovs,unmarkedFrame-method", "siteCovs<-", "siteCovs<-,unmarkedFrame-method", "summary,unmarkedFrame-method", "summary,unmarkedFrameDS-method", "summary,unmarkedFrameOccuComm-method", "summary,unmarkedFrameOccuCOP-method", "summary,unmarkedFrameOccuMulti-method", "summary,unmarkedFrameOccuTTD-method", "summary,unmarkedMultFrame-method", "unmarkedFrame-class" ] }, { "page": "unmarkedFrameDS", "title": "Organize data for the distance sampling model of Royle et al. (2004) fit by distsamp", "topics": [ "unmarkedFrameDS" ] }, { "page": "unmarkedFrameDSO", "title": "Create an object of class unmarkedFrameDSO that contains data used by distsampOpen.", "topics": [ "unmarkedFrameDSO" ] }, { "page": "unmarkedFrameGDR", "title": "Organize data for the combined distance and removal point-count model of Amundson et al. (2014) fit by 'gdistremoval'", "topics": [ "unmarkedFrameGDR", "unmarkedFrameGDR-class" ] }, { "page": "unmarkedFrameMMO", "title": "Create an object of class unmarkedFrameMMO that contains data used by multmixOpen.", "topics": [ "unmarkedFrameMMO" ] }, { "page": "unmarkedFrameMPois", "title": "Organize data for the multinomial-Poisson mixture model of Royle (2004) fit by multinomPois", "topics": [ "unmarkedFrameMPois" ] }, { "page": "unmarkedFrameOccu", "title": "Organize data for the single season occupancy models fit by occu and occuRN", "topics": [ "unmarkedFrameOccu" ] }, { "page": "unmarkedFrameOccuComm", "title": "Organize data for the community occupancy model fit by occuComm", "topics": [ "unmarkedFrameOccuComm" ] }, { "page": "unmarkedFrameOccuCOP", "title": "Organize data for the occupancy model using count data fit by 'occuCOP'", "topics": [ "getL", "getL,unmarkedFrameOccuCOP-method", "unmarkedFrameOccuCOP" ] }, { "page": "unmarkedFrameOccuFP", "title": "Organize data for the single season occupancy models fit by occuFP", "topics": [ "unmarkedFrameOccuFP" ] }, { "page": "unmarkedFrameOccuMS", "title": "Organize data for the multi-state occupancy model fit by occuMS", "topics": [ "unmarkedFrameOccuMS" ] }, { "page": "unmarkedFrameOccuMulti", "title": "Organize data for the multispecies occupancy model fit by occuMulti", "topics": [ "unmarkedFrameOccuMulti" ] }, { "page": "unmarkedFrameOccuTTD", "title": "Create an unmarkedFrameOccuTTD object for the time-to-detection model fit by occuTTD", "topics": [ "unmarkedFrameOccuTTD" ] }, { "page": "unmarkedFramePCO", "title": "Create an object of class unmarkedFramePCO that contains data used by pcountOpen.", "topics": [ "unmarkedFramePCO" ] }, { "page": "unmarkedFramePCount", "title": "Organize data for the N-mixture model fit by pcount", "topics": [ "unmarkedFramePCount" ] }, { "page": "unmarkedModSel-class", "title": "unmarkedModSel class and methods", "topics": [ "coef,unmarkedModSel-method", "SE,unmarkedModSel-method", "show,unmarkedModSel-method", "unmarkedModSel-class" ] }, { "page": "unmarkedMultFrame", "title": "Create an unmarkedMultFrame, unmarkedFrameGMM, unmarkedFrameGDS, or unmarkedFrameGPC object", "topics": [ "unmarkedFrameGDS", "unmarkedFrameGMM", "unmarkedFrameGOccu", "unmarkedFrameGPC", "unmarkedMultFrame", "yearlySiteCovs", "yearlySiteCovs,unmarkedMultFrame-method", "yearlySiteCovs<-", "yearlySiteCovs<-,unmarkedMultFrame-method" ] }, { "page": "unmarkedPower-class", "title": "Methods for unmarkedPower objects", "topics": [ "plot,unmarkedPower,missing-method", "show,unmarkedPower-method", "show,unmarkedPower_old-method", "summary,unmarkedPower-method", "summary,unmarkedPower_old-method", "unmarkedPower-class", "unmarkedPower-methods", "unmarkedPower_old-class", "update,unmarkedPower-method", "update,unmarkedPower_old-method" ] }, { "page": "unmarkedPowerList", "title": "Summarize a series of unmarked power analyses", "topics": [ "plot,unmarkedPowerList,ANY-method", "plot,unmarkedPowerList_old,ANY-method", "show,unmarkedPowerList-method", "show,unmarkedPowerList_old-method", "summary,unmarkedPowerList-method", "summary,unmarkedPowerList_old-method", "unmarkedPowerList", "unmarkedPowerList,list-method", "unmarkedPowerList,unmarkedFit-method", "unmarkedPowerList,unmarkedPower-method", "unmarkedPowerList-methods", "unmarkedPowerList_old-class" ] }, { "page": "unmarkedRanef-class", "title": "Class '\"unmarkedRanef\"'", "topics": [ "confint,unmarkedRanef-method", "plot,unmarkedRanef,missing-method", "show,unmarkedRanef-method", "unmarkedRanef-class" ] }, { "page": "vcov-methods", "title": "Methods for Function vcov in Package `unmarked'", "topics": [ "vcov,linCombOrBackTrans-method", "vcov,unmarkedEstimate-method", "vcov,unmarkedFit-method", "vcov,unmarkedFitOccuMulti-method", "vcov-methods" ] }, { "page": "vif", "title": "Compute Variance Inflation Factors for an unmarkedFit Object.", "topics": [ "vif" ] } ], "_readme": "https://github.com/ecoverser/unmarked/raw/HEAD/README.md", "_rundeps": [ "lattice", "MASS", "Matrix", "rbibutils", "Rcpp", "RcppArmadillo", "RcppEigen", "Rdpack", "reformulas", "TMB" ], "_sysdeps": [ { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_vignettes": [ { "source": "cap-recap.Rmd", "filename": "cap-recap.html", "title": "Modeling variation in abundance using capture-recapture data", "author": "Richard Chandler", "engine": "knitr::rmarkdown", "headings": [ "Abstract", "Introduction", "Data", "Closed Population Models", "Models $M_0$, $M_t$, and models with covariates of $p$.", "Modeling behavioral responses, Model $M_b$", "Caution, Warning, Danger", "Individual Heterogeneity in Capture Probability, Model $M_h$", "Distance-related heterogeneity", "Modeling Temporary Emigration", "References" ], "created": "2022-05-09 20:09:27", "modified": "2024-12-01 20:34:28", "commits": 2 }, { "source": "occuComm.Rmd", "filename": "occuComm.html", "title": "Community occupancy models with occuComm", "author": "Ken Kellner", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Example dataset", "Organize the dataset", "Detection-nondetection data", "Species covariates", "Site covariates", "Observation covariates", "Create unmarkedFrame", "Fit a model", "Estimates of random intercepts and slopes", "Get estimates of occupancy", "Plot covariate relationships by species", "Richness", "Handling guilds or similar groups", "Dividing the data by guild", "Fit separate models by guild", "Calculate richness" ], "created": "2025-02-05 16:36:19", "modified": "2025-02-07 20:00:35", "commits": 2 }, { "source": "contributing_to_unmarked.Rmd", "filename": "contributing_to_unmarked.html", "title": "Contributing to unmarked: guide to adding a new model to unmarked", "author": "Ken Kellner, Léa Pautrel", "engine": "knitr::rmarkdown", "headings": [ "Prerequisites and advices", "Organise the input data: design the unmarkedFrame object", "Define the unmarkedFrame subclass for this model", "Write the function that creates the unmarkedFrame object", "Write the S4 methods associated with the unmarkedFrame object", "Specific methods", "Generic methods", "Methods to access new attributes", "Fitting the model", "Inputs of the fitting function", "Read the unmarkedFrame object: write the getDesign method", "The likelihood function", "The R likelihood function: easily understandable", "The C++ likelihood function: faster", "The TMB likelihood function: for random effects", "Organise the output data", "unmarkedEstimate objects per submodel", "Design the unmarkedFit object", "Test the complete fitting function process", "Write the methods associated with the unmarkedFit object", "getP", "simulate", "plot", "Update the NAMESPACE file", "Write tests", "Write documentation", "Add to unmarked" ], "created": "2023-12-13 15:03:19", "modified": "2025-09-24 18:19:11", "commits": 8 }, { "source": "distsamp.Rmd", "filename": "distsamp.html", "title": "Distance sampling analysis in unmarked", "author": "Richard Chandler, USGS Patuxent Wildlife Research Center", "engine": "knitr::rmarkdown", "headings": [ "Abstract", "Introduction", "Importing, formatting, and summarizing data", "Model fitting", "Manipulating results", "Prediction and plotting", "Model extensions", "Conclusion", "References" ], "created": "2022-05-09 20:09:27", "modified": "2024-12-01 20:34:28", "commits": 2 }, { "source": "colext.Rmd", "filename": "colext.html", "title": "Dynamic occupancy models in unmarked", "author": "Marc Kéry, Swiss Ornithological Institute, Richard Chandler, University of Georgia", "engine": "knitr::rmarkdown", "headings": [ "Abstract", "Introduction", "Dynamic occupancy models", "Ecological or state process", "Observation process", "Modeling of parameters", "Dynamic occupancy models for simulated data", "Simulating, formatting, and summarizing data", "Model fitting", "Manipulating results: prediction and plotting", "Derived parameters", "Goodness-of-fit", "Dynamic occupancy models for crossbill data from the Swiss MHB", "The crossbill data set", "Importing, formatting, and summarizing data", "Model selection", "Manipulating results: Prediction and plotting", "References" ], "created": "2022-05-09 20:09:27", "modified": "2025-05-02 16:57:26", "commits": 4 }, { "source": "occuMulti.Rmd", "filename": "occuMulti.html", "title": "Multispecies occupancy models with occuMulti", "author": "Ken Kellner", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Simple multispecies analysis", "Formatting the data", "Occupancy formulas", "Detection formulas", "Fit the model", "Occupancy probabilities", "Marginal occupancy", "Plotting marginal occupancy", "Conditional occupancy", "Plotting conditional occupancy", "Multispecies model with covariates", "Add housing density as a covariate", "Plotting covariate effects", "Model selection", "Model fitting challenges", "Penalized likelihood", "Penalized likelihood with occuMulti", "References" ], "created": "2022-05-09 20:09:27", "modified": "2023-04-05 22:13:13", "commits": 4 }, { "source": "unmarked.Rmd", "filename": "unmarked.html", "title": "Overview of unmarked: an R Package for the Analysis of Data from Unmarked Animals", "author": "Ian Fiske, Richard Chandler", "engine": "knitr::rmarkdown", "headings": [ "Abstract", "Overview of unmarked", "Typical unmarked session", "Importing and formatting data", "Fitting models", "Back-transforming parameter estimates", "Model selection and model fit", "Derived parameters and empirical Bayes methods", "References" ], "created": "2022-05-09 20:09:27", "modified": "2025-07-21 18:31:25", "commits": 4 }, { "source": "powerAnalysis.Rmd", "filename": "powerAnalysis.html", "title": "Power Analysis in unmarked", "author": "Ken Kellner", "engine": "knitr::rmarkdown", "headings": [ "Hypothesis Testing", "Wald tests", "Making a conclusion", "Types of error", "Power Analysis in unmarked", "Introduction", "Inputs", "The unmarkedFrame", "The model type", "Other arguments", "Call powerAnalysis", "Effect sizes", "Run the power analysis", "Run the power analysis for a smaller sample size", "Compare power across several sample sizes", "Conclusion", "References" ], "created": "2022-05-09 20:09:27", "modified": "2025-02-07 20:00:35", "commits": 5 }, { "source": "simulate.Rmd", "filename": "simulate.html", "title": "Simulating datasets", "author": "Ken Kellner", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Components of a call to simulate", "Simulating an occupancy dataset", "1. The unmarkedFrame", "2. Specify the model type", "3. Specify other arguments to the fitting function", "4. Specify the corresponding parameter values", "Run simulate", "Fit a model to the simulated dataset", "Simulating a more complex dataset: gdistremoval", "2. Arguments sent to gdistremoval", "3. Coefficient values", "4. Run simulation", "Fit model to simulated dataset", "Conclusion", "References" ], "created": "2022-05-09 20:09:27", "modified": "2024-09-04 18:03:05", "commits": 3 }, { "source": "spp-dist.Rmd", "filename": "spp-dist.html", "title": "Modeling and mapping species distributions", "author": "Richard Chandler", "engine": "knitr::rmarkdown", "headings": [ "Abstract", "Mapping Occurrence Probability", "Mapping Population Density", "References" ], "created": "2022-05-09 20:09:27", "modified": "2022-05-09 20:09:27", "commits": 1 } ], "_score": 13.575893764878275, "_indexed": true, "_nocasepkg": "unmarked", "_universes": [ "ecoverser", "kenkellner" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.5.1.9003", "date": "2026-06-05T11:00:07.000Z", "distro": "noble", "arch": "aarch64", "commit": "96a868add792a2cf8c5efcd3c3f8299976ce9168", "fileid": "51d51608c63e088460762514e4929035cb0059293a6173d71b3ed575af7beb29", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ecoverser/actions/runs/27010506273" }, { "r": "4.7.0", "os": "linux", "version": "1.5.1.9003", "date": "2026-06-05T11:00:11.000Z", "distro": "noble", "arch": "x86_64", "commit": "96a868add792a2cf8c5efcd3c3f8299976ce9168", "fileid": "3d79279633b0c0dfce5bab38ec628013a7e562c73a56fe0edd5ea143d3ce7aa1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ecoverser/actions/runs/27010506273" }, { "r": "4.6.0", "os": "linux", "version": "1.5.1.9003", "date": "2026-06-05T11:00:17.000Z", "distro": "noble", "arch": "aarch64", "commit": "96a868add792a2cf8c5efcd3c3f8299976ce9168", "fileid": "10a68a2b8f534867cb346eea43ceafc33c49c600c13a35abfe0845bda7812cbd", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ecoverser/actions/runs/27010506273" }, { "r": "4.6.0", "os": "linux", "version": "1.5.1.9003", "date": "2026-06-05T11:00:15.000Z", "distro": "noble", "arch": "x86_64", "commit": "96a868add792a2cf8c5efcd3c3f8299976ce9168", "fileid": "9fe617aa99cc3b0c4d69839895cdb2fa4d7ac81bbf1cf17d582249ccda061672", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ecoverser/actions/runs/27010506273" }, { "r": "4.5.3", "os": "mac", "version": "1.5.1.9003", "date": "2026-06-05T11:01:03.000Z", "arch": "aarch64", "commit": "96a868add792a2cf8c5efcd3c3f8299976ce9168", "fileid": "4163481b1d0bec8856d4db20ba64308dceb4563485cf7d73f01f248be7ba8d4a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ecoverser/actions/runs/27010506273" }, { "r": "4.5.3", "os": "mac", "version": "1.5.1.9003", "date": "2026-06-05T11:03:24.000Z", "arch": "x86_64", "commit": "96a868add792a2cf8c5efcd3c3f8299976ce9168", "fileid": "9cc811abaa0e9f95214399d6b4f49b7efd68d374eb999b460c4f6aa184b9b101", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ecoverser/actions/runs/27010506273" }, { "r": "4.6.0", "os": "mac", "version": "1.5.1.9003", "date": "2026-06-05T11:00:40.000Z", "arch": "aarch64", "commit": "96a868add792a2cf8c5efcd3c3f8299976ce9168", "fileid": "a553737d533a1b1998cab0687b4d0cb7d27f35c8b549804ed9854a4041a41715", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ecoverser/actions/runs/27010506273" }, { "r": "4.6.0", "os": "mac", "version": "1.5.1.9003", "date": "2026-06-05T11:02:34.000Z", "arch": "x86_64", "commit": "96a868add792a2cf8c5efcd3c3f8299976ce9168", "fileid": "b5d22cfe808eb19770b428744a1a8c5379b2132a5c8322b71ee07e6ae2ee873c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ecoverser/actions/runs/27010506273" }, { "r": "4.7.0", "os": "win", "version": "1.5.1.9003", "date": "2026-06-05T10:59:17.000Z", "arch": "x86_64", "commit": "96a868add792a2cf8c5efcd3c3f8299976ce9168", "fileid": "df917922b3f661fb9c96998eaca349214b01f208264f017fbcfff5bbe5178273", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ecoverser/actions/runs/27010506273" }, { "r": "4.5.3", "os": "win", "version": "1.5.1.9003", "date": "2026-06-05T10:59:37.000Z", "arch": "x86_64", "commit": "96a868add792a2cf8c5efcd3c3f8299976ce9168", "fileid": "8058669aab5375babf363c65d4327d777776fc063cc1f7dbee1e4bfc9408b89d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ecoverser/actions/runs/27010506273" }, { "r": "4.6.0", "os": "win", "version": "1.5.1.9003", "date": "2026-06-05T11:00:05.000Z", "arch": "x86_64", "commit": "96a868add792a2cf8c5efcd3c3f8299976ce9168", "fileid": "39c4ed1fa25d2df5855de7cb8ffd283ae9b2c2252bb6c55b24a83eeaf48a8957", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ecoverser/actions/runs/27010506273" } ] }