plot.em {em}

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'