plot.em: Plot the fitted results of EM algorithm

In em: Generic EM Algorithm

Plot the fitted results of EM algorithm

Description

This is the generic plot function for 'em' project. One can produce three types of graphs using this function 1. A graph of the predicted value distribution for each component. 2. A histogram of posterior probability distributions

Usage

## S3 method for class 'em'
plot(
  x,
  by = c("component", "prob"),
  prior = FALSE,
  cols = rep(1, length(x$models)),
  lwds = rep(3, length(x$models)),
  ltys = c(seq_len(length(x$models))),
  ranges = NULL,
  main = NULL,
  lgd = list(),
  lgd.loc = "topleft",
  hist.args = list(main = "Histograms of posterior probabilities", xlab =
    "Posterior Probabilities"),
  ...
)

Arguments

x	the 'em' model to plot
by	the type of the graph to produce. The default is 'component'.
prior	whether fit the model using prior probabilities.
cols	lines' colors.
lwds	Lines' widths.
ltys	lines' types.
ranges	the ranges of the x-axis and the y-axis limits of plots. It should be a vector of four numeric values. The first two represent the x-axis limits. The last two represent the y-axis limits
main	the main title.
lgd	a list for legend related arguments.
lgd.loc	the location of the legend. The default is "topleft".
hist.args	The list of arguments for the histogram.
...	other arguments.

Value

'NULL'

em documentation built on Jan. 11, 2023, 9:07 a.m.