MLhist: Plot method for MLboot objects

In RXshrink: Maximum Likelihood Shrinkage using Generalized Ridge or Least Angle Regression

Plot method for MLboot objects

Description

Frequency Histogram displays that use both a specified "Middle Percentage" of a MLboot() distribution that contains outliers as well as a proposed total number of bins.

Usage

  MLhist(x, comp="opt.beta", xvar=1, npct = 95, bins = 50 )

Arguments

x	An Output-list object of class "MLboot".
comp	One of five possible choices of MLboot() resampled estimates: "ols.beta", "ols.rmse", "opt.dmse", "opt.beta" or "opt.rmse".
xvar	Column number of estimates to be displayed: 1 <= xvar <= x$p.
npct	An integer percentage of the simulated scalar estimates to be displayed. This percentage should be at least 66 and at most 100.
bins	This proposed number of histogram "breaks" is only a suggestion; actual breakpoints will be set to "pretty" values.

Value

An output list object of class MLhist:

x	Character string showing user choices for "comp" and "xvar" arguments.
form	The regression formula specifying the linear model in MLboot().
reps	Number of Bootstrap replications performed.
npct	An integer percentage of the simulated scalar estimates displayed.
rbins	Number of histogram Bins requested.
dbins	Number of histogram Bins actually displayed.
ntot	Total number of rows of scalar estimates.
p	Total number of columns of scalar estimates.
nlo	First (smallest) order statistic displayed in Histogram.
nup	Last (largest) order statistic displayed in Histogram.
noin	Total number of scalar estimates displayed in Histogram.
xmn	Observed Mean Estimate: location of vertical "blue" dashed line on Histogram.

Author(s)

Bob Obenchain <[e-mail]>

RXshrink documentation built on Aug. 8, 2023, 1:09 a.m.