confint.gllvm: Confidence intervals for model parameters

In gllvm: Generalized Linear Latent Variable Models

Confidence intervals for model parameters

Description

Computes confidence intervals for parameters in a fitted gllvm model.

Usage

## S3 method for class 'gllvm'
confint(object, parm = NULL, level = 0.95, ...)

Arguments

object	an object of class 'gllvm'.
parm	a specification of which parameters are to be given confidence intervals, a vector of names. Examples of options are "beta0", "Xcoef",theta", "phi". If missing, all parameters are considered.
level	the confidence level. Scalar between 0 and 1.
...	not used.

Author(s)

Jenni Niku <[e-mail]>

Examples

## Not run: 
## Load a dataset from the mvabund package
data(antTraits)
y <- as.matrix(antTraits$abund)
X <- as.matrix(antTraits$env[,1:2])
# Fit gllvm model
fit <- gllvm(y = y, X = X, family = poisson())
# 95 % confidence intervals for coefficients of X variables
confint(fit, level = 0.95, parm = "Xcoef")

## End(Not run)

gllvm documentation built on Sept. 18, 2023, 5:22 p.m.