| AICc | Corrected Akaike information criterion and number of observations | 
| AICc.gllvm | Corrected Akaike information criterion and number of observations | 
| anova.gllvm | Analysis Of Deviance for gllvm | 
| coefplot | Plot covariate coefficients and confidence intervals | 
| coefplot.gllvm | Plot covariate coefficients and confidence intervals | 
| confint | Confidence intervals for model parameters | 
| confint.gllvm | Confidence intervals for model parameters | 
| ecoCoefs | Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables. | 
| eSpider | Hunting spider data | 
| getLV | Extract latent variables | 
| getLV.gllvm | Extract latent variables | 
| getPredictErr | Extract prediction errors for latent variables from gllvm object | 
| getPredictErr.gllvm | Extract prediction errors for latent variables from gllvm object | 
| getResidualCor | Extract residual correlations from gllvm object | 
| getResidualCor.gllvm | Extract residual correlations from gllvm object | 
| getResidualCov | Extract residual covariance matrix from gllvm object | 
| getResidualCov.gllvm | Extract residual covariance matrix from gllvm object | 
| gllvm | Generalized Linear Latent Variable Models | 
| logLik | Log-likelihood of gllvm | 
| logLik.gllvm | Log-likelihood of gllvm | 
| microbialdata | Microbial community data | 
| nobs | Corrected Akaike information criterion and number of observations | 
| nobs.gllvm | Corrected Akaike information criterion and number of observations | 
| optima | Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables. | 
| optima.gllvm | Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables. | 
| ordiplot | Plot latent variables from gllvm model | 
| ordiplot.gllvm | Plot latent variables from gllvm model | 
| plot.gllvm | Plot Diagnostics for an gllvm Object | 
| predict | Predict Method for gllvm Fits | 
| predict.gllvm | Predict Method for gllvm Fits | 
| predictLVs | Predict latent variables for gllvm Fits | 
| predictLVs.gllvm | Predict latent variables for gllvm Fits | 
| print.summary.gllvm | Summarizing gllvm model fits | 
| randomCoefplot | Plot random slope coefficients | 
| randomCoefplot.gllvm | Plot random slope coefficients | 
| residuals.gllvm | Dunn-Smyth residuals for gllvm model | 
| se | Standard errors for gllvm model | 
| se.gllvm | Standard errors for gllvm model | 
| simulate | Simulate data from gllvm fit | 
| simulate.gllvm | Simulate data from gllvm fit | 
| Skabbholmen | Skabbholmen island data | 
| summary.gllvm | Summarizing gllvm model fits | 
| tolerances | Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables. | 
| tolerances.gllvm | Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables. | 
| vcov | Returns variance-covariance matrix of coefficients in a GLLVM. | 
| vcov.gllvm | Returns variance-covariance matrix of coefficients in a GLLVM. |