DS                      Function for Fitting Single-Species
                        Hierarchical Distance Sampling Models
NMix                    Function for Fitting Single-Species N-mixture
                        Models
abund                   Function for Fitting Univariate Abundance GLMMs
bbsData                 Count data for six warbler species in
                        Pennsylvania, USA
bbsPredData             Covariates and coordinates for prediction of
                        relative warbler abundance in Pennsylvania, USA
dataNMixSim             Simulated repeated count data of 6 species
                        across 225 sites
fitted.DS               Extract Model Fitted Values for DS Object
fitted.NMix             Extract Model Fitted Values for NMix Object
fitted.abund            Extract Model Fitted Values for abund Object
fitted.lfMsAbund        Extract Model Fitted Values for lfMsAbund
                        Object
fitted.lfMsDS           Extract Model Fitted Values for lfMsDS Object
fitted.lfMsNMix         Extract Model Fitted Values for lfMsNMix Object
fitted.msAbund          Extract Model Fitted Values for msAbund Object
fitted.msDS             Extract Model Fitted Values for msDS Object
fitted.msNMix           Extract Model Fitted Values for msNMix Object
fitted.sfMsAbund        Extract Model Fitted Values for sfMsAbund
                        Object
fitted.sfMsDS           Extract Model Fitted Values for sfMsDS Object
fitted.sfMsNMix         Extract Model Fitted Values for sfMsNMix Object
fitted.spAbund          Extract Model Fitted Values for spAbund Object
fitted.spDS             Extract Model Fitted Values for spDS Object
fitted.spNMix           Extract Model Fitted Values for spNMix Object
fitted.svcAbund         Extract Model Fitted Values for svcAbund Object
fitted.svcMsAbund       Extract Model Fitted Values for svcMsAbund
                        Object
hbefCount2015           Count data of 12 foliage gleaning bird species
                        in 2015 in the Hubbard Brook Experimental
                        Forest
lfMsAbund               Function for Fitting Latent Factor Multivariate
                        Abundance GLMMs
lfMsDS                  Function for Fitting Latent Factor
                        Multi-Species Hierarchical Distance Sampling
                        Models
lfMsNMix                Function for Fitting Latent Factor
                        Multi-species N-mixture Models
msAbund                 Function for Fitting Multivariate Abundance
                        GLMMs
msDS                    Function for Fitting Multi-Species Hierarchical
                        Distance Sampling Models
msNMix                  Function for Fitting Multi-species N-mixture
                        Models
neonDWP                 Distance sampling data of 16 bird species
                        observed in the Disney Wilderness Preserve in
                        2018 in Florida, USA
neonPredData            Land cover covariates and coordinates at a 1ha
                        resolution across Disney Wilderness Preserve
ppcAbund                Function for performing posterior predictive
                        checks
predict.DS              Function for prediction at new locations for
                        single-species hierarchical distance sampling
                        models
predict.NMix            Function for prediction at new locations for
                        single-species N-mixture models
predict.abund           Function for prediction at new locations for
                        univariate GLMMs
predict.lfMsAbund       Function for prediction at new locations for
                        latent factor multivariate GLMMs
predict.lfMsDS          Function for prediction at new locations for
                        latent factor multi-species hierarchical
                        distance sampling models
predict.lfMsNMix        Function for prediction at new locations for
                        latent factor multi-species N-mixture models
predict.msAbund         Function for prediction at new locations for
                        multivariate GLMMs
predict.msDS            Function for prediction at new locations for
                        multi-species hierarchical distance sampling
                        models
predict.msNMix          Function for prediction at new locations for
                        multi-species N-mixture models
predict.sfMsAbund       Function for prediction at new locations for
                        spatial factor multivariate GLMMs
predict.sfMsDS          Function for prediction at new locations for
                        spatial factor multi-species hierarchical
                        distance sampling models
predict.sfMsNMix        Function for prediction at new locations for
                        spatial factor multi-species N-mixture models
predict.spAbund         Function for prediction at new locations for
                        univariate spatial GLMMs
predict.spDS            Function for prediction at new locations for
                        single-species spatially-explicit hierarchical
                        distance sampling models
predict.spNMix          Function for prediction at new locations for
                        single-species spatial N-mixture models
predict.svcAbund        Function for prediction at new locations for
                        univariate Gaussian spatially-varying
                        coefficient models
predict.svcMsAbund      Function for prediction at new locations for
                        multivariate spatially-varying coefficient
                        GLMMs
sfMsAbund               Function for Fitting Spatial Factor
                        Multivariate Abundance GLMMs
sfMsDS                  Function for Fitting Spatial Factor
                        Multi-Species Hierarchical Distance Sampling
                        Models
sfMsNMix                Function for Fitting Spatial Factor
                        Multi-species N-mixture Models
simAbund                Simulate Univariate Data for Testing GLMMs
simDS                   Simulate Single-Species Distance Sampling Data
simMsAbund              Simulate Multivariate Data for Testing GLMMs
simMsDS                 Simulate Multi-Species Distance Sampling Data
simMsNMix               Simulate Multi-Species Repeated Count Data with
                        Imperfect Detection
simNMix                 Simulate Single-Species Count Data with
                        Imperfect Detection
spAbund                 Function for Fitting Univariate Spatial
                        Abundance GLMs
spDS                    Function for Fitting Single-Species
                        Spatially-Explicit Hierarchical Distance
                        Sampling Models
spNMix                  Function for Fitting Single-Species Spatial
                        N-Mixture Models
summary.DS              Methods for DS Object
summary.NMix            Methods for NMix Object
summary.abund           Methods for abund Object
summary.lfMsAbund       Methods for lfMsAbund Object
summary.lfMsDS          Methods for lfMsDS Object
summary.lfMsNMix        Methods for lfMsNMix Object
summary.msAbund         Methods for msAbund Object
summary.msDS            Methods for msDS Object
summary.msNMix          Methods for msNMix Object
summary.sfMsAbund       Methods for sfMsAbund Object
summary.sfMsDS          Methods for sfMsDS Object
summary.sfMsNMix        Methods for sfMsNMix Object
summary.spAbund         Methods for spAbund Object
summary.spDS            Methods for spDS Object
summary.spNMix          Methods for spNMix Object
summary.svcAbund        Methods for svcAbund Object
summary.svcMsAbund      Methods for svcMsAbund Object
svcAbund                Function for Fitting Univariate
                        Spatialy-Varying Coefficient GLMMs
svcMsAbund              Function for Fitting Spatially-Varying
                        Coefficient Multivariate Abundance GLMMs
waicAbund               Compute Widely Applicable Information Criterion
                        for spAbundance Model Objects
