plotPosterior: Plot posterior distributions

In graper: Adaptive penalization in high-dimensional regression and classification with external covariates using variational Bayes

Description

Function to plot the posterior of the model parameters obtained by graper from the variational inference framework.

Usage

plotPosterior(fit, param2plot, beta0 = NULL, gamma0 = NULL,
  tau0 = NULL, pi0 = NULL, s0 = NULL, jmax = 2, range = NULL)

Arguments

fit	fit as produced by graper
param2plot	which parameter of the graper model to plot (gamma, beta, tau or s)
beta0	true beta (if known)
gamma0	true gamma (if known)
tau0	true tau (if known)
pi0	true pi (if known)
s0	true s (if known)
jmax	maximal number of components per group to plot (for beta and s)
range	plotting range (x-axis)

Value

a ggplot object

Examples

# create data
dat <- makeExampleData()
# fit the graper model
fit <- graper(dat$X, dat$y, dat$annot)
# plot posterior distribution of the gamma parameter
plotPosterior(fit, param2plot="gamma")

graper documentation built on Nov. 8, 2020, 5:45 p.m.