randomCoefplot.gllvm: Plot random slope coefficients

In gllvm: Generalized Linear Latent Variable Models

Plot random slope coefficients

Description

Plots random slopes and their prediction intervals.

Usage

## S3 method for class 'gllvm'
randomCoefplot(
  object,
  y.label = TRUE,
  which.Xcoef = NULL,
  cex.ylab = 0.5,
  mfrow = NULL,
  mar = c(4, 6, 2, 1),
  xlim.list = NULL,
  order = FALSE,
  ...
)

Arguments

object	an object of class 'gllvm'.
y.label	logical, if TRUE (default) colnames of y with respect to coefficients are added to plot.
which.Xcoef	fector indicating which covariate coefficients will be plotted. Can be vector of covariate names or numbers. Default is NULL when all covariate coefficients are plotted.
cex.ylab	the magnification to be used for axis annotation relative to the current setting of cex.
mfrow	same as mfrow in par. If NULL (default) it is determined automatically.
mar	vector of length 4, which defines the margin sizes: c(bottom, left, top, right). Defaults to c(4,5,2,1).
xlim.list	list of vectors with length of two to define the intervals for x axis in each covariate plot. Defaults to NULL when the interval is defined by the range of point estimates and confidence intervals
order	logical, if TRUE (default), coefficients are sorted according to the point estimates
...	additional graphical arguments.

Author(s)

Jenni Niku <[e-mail]>, Francis K.C. Hui, Bert van der Veen, Sara Taskinen,

Examples

## Not run: 
## Load a dataset from the mvabund package
data(antTraits)
y <- as.matrix(antTraits$abund)
X <- as.matrix(antTraits$env)
TR <- antTraits$traits
# Fit model with random slopes
fitF <- gllvm(y = y, X = X, TR = TR,
 formula = ~ Bare.ground + Bare.ground : Webers.length,
 family = poisson(), randomX = ~ Bare.ground)
randomCoefplot(fitF)

## End(Not run)

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