Function reference • jSDM

Package Package description
`jSDM-package`	joint species distribution models
jSDM Functions for joint species distribution models
`jSDM_binomial_probit()`	Binomial probit regression
`jSDM_binomial_probit_sp_constrained`	Binomial probit regression with selected constrained species
`jSDM_binomial_probit_long_format()`	Binomial probit regression on long format data
`jSDM_binomial_logit()`	Binomial logistic regression
`jSDM_poisson_log()`	Poisson regression with log link function
`jSDM_gaussian()`	Binomial probit regression
Data Data-sets used in examples
`frogs`	frogs dataset
`mosquitos`	mosquitos dataset
`eucalypts`	eucalypts dataset
`fungi`	fungi dataset
`birds`	birds dataset
`mites`	mites dataset
`aravo`	Distribution of Alpine plants in Aravo (Valloire, France)
`madagascar`	Madagascar's forest inventory
Miscellaneous Miscellaneous functions
`logit()`	Generalized logit function
`inv_logit()`	Generalized inverse logit function
`get_residual_cor()`	Calculate the residual correlation matrix from a latent variable model (LVM)
`get_enviro_cor()`	Extract covariances and correlations due to shared environmental responses
`plot_residual_cor()`	Plot the residual correlation matrix from a latent variable model (LVM).
`plot_associations()`	plot_associations plot species-species associations
Predict S3 method to predict from a jSDM model
`predict(<jSDM>)`	Predict method for models fitted with jSDM

Reference