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gllvm

randomCoefplot.gllvm

Plot random slope coefficients

Description

Plots random slopes and their prediction intervals.

Usage

## S3 method for class 'gllvm'
randomCoefplot(
  object,
  y.label = TRUE,
  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.
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 <jenni.m.e.niku@jyu.fi>, Francis K.C. Hui, 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

Generalized Linear Latent Variable Models

v1.3.0
GPL-2
Authors
Jenni Niku [aut, cre], Wesley Brooks [aut], Riki Herliansyah [aut], Francis K.C. Hui [aut], Sara Taskinen [aut], David I. Warton [aut], Bert van der Veen [aut]
Initial release
2021-4-26

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