bayespm (version 0.2.0)

lt_HD: The Highest Density (HD) interval of Logt distribution.

Description

lt_HD is used to derive the narrowest interval of a predetermined coverage from a Logt distribution, containing the Highest Density (HD) values.

Usage

lt_HD( cover = NULL, df = NULL, mulog = NULL, sdlog = NULL, plot = FALSE,
       xlab = "x", ylab = "Density" )

Value

Returns a data frame with the upper and the lower limits of the Highest Predictive Denisty or Mass (HPrD/M) region, the lower and the achieved coverage. If plot=T, then the HPrD/M is visualized.

Arguments

cover

scalar (between 0 and 1); The coverage (probability) of the Highest Density (HD). The default value is 0.95.

df

scalar (positive); It is the degrees of freedom of the Logt distribution and needs to be a number.

mulog

scalar (real); It is the scale parameter of the Logt distribution and needs to be a number. The default value is 0.

sdlog

scalar (positive); It is the shape parameter of the Logt distribution and needs to be a number. The default value is 1.

plot

logical; if TRUE, the plot of the HD region is displayed. It is FALSE by default.

xlab, ylab

The titles of the x-axis and y-axis for the HD plot. The default values are "x" and "Density".

Details

lt_HD provides the Highest Density (HD) of a Logt distribution. HD is the narrowest interval with a pretermined coverage. The values included in HD have density larger than every point outside the region.

Examples

lt_HD(0.95, 10, 0, 1/2, plot = TRUE)