Generalized Linear Latent Variable Models
Corrected Akaike information criterion and number of observations
Analysis Of Deviance for gllvm
Plot covariate coefficients and confidence intervals
Confidence intervals for model parameters
Functions to extract ecological quantities of the latent variables fro...
Extract latent variables
Extract prediction errors for latent variables from gllvm object
Extract residual correlations from gllvm object
Extract residual covariance matrix from gllvm object
Generalized Linear Latent Variable Models
Log-likelihood of gllvm
Microbial community data
Plot latent variables from gllvm model
Plot Diagnostics for an gllvm Object
Predict Method for gllvm Fits
Predict latent variables for gllvm Fits
Plot random slope coefficients
Dunn-Smyth residuals for gllvm model
Standard errors for gllvm model
Simulate data from gllvm fit
Summarizing gllvm model fits
Returns variance-covariance matrix of coefficients in a GLLVM.
Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either Laplace approximation method or variational approximation method implemented via TMB (Kristensen et al., (2016), <doi:10.18637/jss.v070.i05>). For details see Niku et al. (2019a) <doi:10.1371/journal.pone.0216129> and Niku et al. (2019b) <doi:10.1111/2041-210X.13303>.