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gllvm (version 1.0)

Generalized Linear Latent Variable Models

Description

Generalized linear latent variable model (gllvm) for analyzing multivariate data. Estimation is performed using either Laplace approximation or variational approximation method implemented via TMB (Kristensen et al., (2016), ). Details for gllvm, see Hui et al. (2015) and (2017) and Niku et al. (2017) .

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Version

Install

install.packages('gllvm')

Monthly Downloads

676

Version

1.0

License

GPL-2

Maintainer

Jenni Niku

Last Published

July 30th, 2018

Functions in gllvm (1.0)

gllvm

Generalized Linear Latent Variable Models
anova.gllvm

Analysis Of Deviance for gllvm
coefplot.gllvm

Plot covariate coefficients and confidence intervals
logLik.gllvm

Log-likelihood of gllvm
residuals.gllvm

Dunn-Smyth -residuals for gllvm model
summary.gllvm

Summarizing gllvm model fits
ordiplot.gllvm

Plot latent variables from gllvm model
plot.gllvm

Plot Diagnostics for an gllvm Object
confint.gllvm

Confidence intervals for model parameters
getResidualCor.gllvm

Extract residual correlations from gllvm object