Extracts posterior summaries of the niche centroid (mu), standard
deviations (sigma), covariance matrix (Sigma) and correlation
matrix (R_corr) from a fitted Bayesian presence-only niche model.
Value
A list with components:
- mu
Data frame with posterior summary of the centroid (mean, sd, and credible interval for each dimension).
- sigma
Data frame with posterior summary of the standard deviations (mean, sd, and credible interval for each dimension).
- Sigma
Posterior mean of the covariance matrix (P x P matrix).
- R_corr
Posterior mean of the correlation matrix (P x P matrix).
Examples
if (FALSE) { # \dontrun{
fit <- fit_niche(occ, chains = 2)
pars <- extract_pars(fit)
pars$mu # centroid posterior summary
pars$sigma # tolerance posterior summary
pars$Sigma # posterior mean covariance matrix
pars$R_corr # posterior mean correlation matrix
# Geographic interpretation: project the 95% Mahalanobis ellipsoid
# onto the environmental raster to get spatial habitat suitability.
} # }