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A B C D E F G H I M P R S T U V W Z
| AHMbook-package | Functions and data for the Book "Applied Hierarchical Modeling in Ecology" Volumes 1 and 2 |
| AHMbook | Functions and data for the Book "Applied Hierarchical Modeling in Ecology" Volumes 1 and 2 |
| BerneseOberland | Landscape data for the Bernese Oberland around Interlaken, in the Alps of central Switzerland |
| bigCrossCorr | Cross correlations for MCMC output |
| body | Fictional data for dragonflies |
| ch2marray | Converts capture-histories to an m-array |
| color | Fictional data for dragonflies |
| Color_Ramps | Color Ramps |
| crestedTit | Count data from the Swiss Breeding Bird Survey MHB for crested tits from 1999 to 2015 |
| crossbillAHM | Data from the Swiss Breeding Bird Survey MHB for European Crossbill from 2001 to 2012 |
| crPiFun | Compute multinomial cell probabilities |
| crPiFun.Mb | Compute multinomial cell probabilities |
| cswa | Point count and spot-mapping data for Chestnut-sided Warbler |
| damage | Fictional data for dragonflies |
| data.fn | Simulate count data under a binomial N-mixture model |
| dragonflies | Fictional data for dragonflies |
| duskySalamanders | Age-classified counts of dusky salamanders from two mid-Atlantic states in the USA |
| e2dist | Calculates the pair-wise distances between two sets of points |
| EurasianLynx | Data for Eurasian lynx from Switzerland and Italy (only Alps). |
| Finnmark | Data from surveys of birds in Finnmark in NE Norway |
| fitstats | Functions to return fit statistics |
| fitstats2 | Functions to return fit statistics |
| FrenchPeregrines | Data for observations of peregrines from the French Jura mountains |
| getEcorrMat | Compute results of a Joint Species Distribution Model (JSDM) |
| getLVcorrMat | Compute results of a Joint Species Distribution Model (JSDM) |
| graphSSM | Plot the results for a Gaussian state-space model |
| greenWoodpecker | Count data from the Swiss Breeding Bird Survey for Green Woodpeckers from 2004 to 2017 |
| HubbardBrook | Warbler point count data from the Hubbard Brook Experimental Forest |
| image.scale | Helper function to draw scale for image |
| image_scale | Helper function to draw scale for image |
| instRemPiFun | Compute multinomial cell probabilities |
| issj.sim | Simulate open distance sampling data for the Island Scrub Jays |
| map.Nmix.resi | Mapping of residuals |
| MesoCarnivores | Camera trap data for Bobcat, Coyote and Red Fox |
| MHB2014 | Data from the Swiss Breeding Bird Survey MHB 2014 |
| MhPiFun | Compute multinomial cell probabilities |
| mites | Fictional data for dragonflies |
| modSelFP | Model selection results from a list of 'unmarkedFitOccuFP' models |
| piFuns | Compute multinomial cell probabilities |
| playRN | Function to play Royle-Nichols (RN) model |
| plot.Nmix.resi | Produce some residual plots |
| plot_Nmix_resi | Produce some residual plots |
| pop | Fictional data for dragonflies |
| ppc.plot | Plot results from posterior predictive check |
| rampBYR | Color Ramps |
| rampGBr | Color Ramps |
| rampGreens | Color Ramps |
| rampGreys | Color Ramps |
| rampYOR | Color Ramps |
| sex | Fictional data for dragonflies |
| sim.fn | Simulate a Poisson point process |
| sim.ldata | Simulation of distance sampling data. |
| sim.pdata | Simulate non-hierarchical point transect (= point count) data |
| sim.spatialDS | Simulates data for a basic spatial distance sampling model |
| sim.spatialHDS | Simulates data for a hierarchical spatial distance sampling model |
| sim3Occ | Simulate detection/nondetection data for static 3-level occupancy models |
| simCJS | Simulate individual capture-histories under a Cormack-Jolly-Seber (CJS) survival model |
| simComm | Simulate community occupancy or community abundance data |
| simDataDK | Simulate data for an integrated species distribution model (SDM) of Dorazio-Koshkina |
| simDataDK1 | Simulate data for an integrated species distribution model (SDM) of Dorazio-Koshkina |
| simDCM | Simulate detection/nondetection data under a general dynamic community (site-occupancy) model |
| simDemoDynocc | Simulate data under a demographic dynamic occupancy model |
| simDM | Simulate count data under the dynamic N-mixture model of Dail-Madsen |
| simDM0 | Simulate count data under the dynamic N-mixture model of Dail-Madsen |
| simDSM | Simulate line transect data for density surface modeling |
| simDynocc | Simulate detection/nondetection data under a wide variety of non-spatial dynamic occupancy models |
| simDynoccSpatial | Simulate data under a dynamic occupancy model with spatial autocorrelation |
| simExpCorrRF | Create a Gaussian random field with negative exponential correlation |
| simFrogDisease | Simulate detection data for diseased frogs |
| simHDS | Simulate data under hierarchical distance sampling protocol (line or point) |
| simHDSg | Simulate data under HDS protocol with groups |
| simHDSopen | Simulate open hierarchical distance sampling data |
| simHDStr | Simulate HDS time-removal or double-observer data |
| simMultMix | Simulate the multinomial-mixture model |
| simNmix | Simulate data for binomial and multinomial mixture models |
| simNmixSpatial | Simulate replicated counts under a spatial, static binomial N-mixture model |
| simNpC | Generate counts from a single population observed over T years under a binomial observation process |
| simOcc | Simulate data for static occupancy models under wide range of conditions |
| simOccSpatial | Simulate replicated detection/nondetection data under a spatial, static occupancy model |
| simOccttd | Simulate time-to-detection occupancy data (single visits) |
| simPH | Generate counts under a variant of a 'phenomenological model' |
| simpleNmix | Simulate N-mixture data under a time-for-space substitution design |
| simPOP | Simulate data for a demographic state-space model |
| simPPe | Simulate a spatial point pattern in a heterogeneous landscape |
| simSpatialDSline | Simulate data for a standardized line transect |
| simSpatialDSte | Simulate data for replicate line transect surveys with temporary emigration |
| spline.prep | Prepare input for BUGS model when fitting a spline for a covariate |
| spottedWoodpecker | Data for observations of Middle Spotted Woodpecker in Switzerland |
| standardize | Scaling and centering of vectors, matrices and arrays |
| standardize2match | Scaling and centering of vectors, matrices and arrays |
| SwissAtlasHa | Data for 1ha quadrats from the Swiss Breeding Bird Atlas |
| SwissEagleOwls | Territory-level, multi-state detection/nondetection data for Eagle Owls in Switzerland |
| SwissMarbledWhite | Data for Swiss Marbled White butterflies |
| SwissSquirrels | Data for Red Squirrels in Switzerland from the Swiss breeding bird survey MHB |
| SwissTits | Data from the Swiss Breeding Bird Survey for 6 species of tits |
| treeSparrow | American Tree Sparrow data from Alaska |
| ttdPeregrine | Time-to-detection data for peregrines from the French Jura mountains |
| UKmarbledWhite | Data for UK Marbled White butterflies |
| valid_data | Validates simulated observational data against data-generating values. |
| wagtail | Data for Dutch wagtails |
| waterVoles | Data for the Mighty Water Voles of Scotland, UK. |
| wigglyLine | Coordinates for a wiggly line transect |
| wigglyOcc | Simulate static occupancy data |
| willowWarbler | Constant effort site (CES) data for British Willow Warblers |
| wing | Fictional data for dragonflies |
| zinit | Starting values for survival analysis in JAGS/BUGS |