genData: Generate Bivariate Data

In senresearch/lcest: Left Censored Estimates

Description

This function will generate an uncensored dataset distributed bivaraite normal or t.

Usage

genData(n, locVec, scaleMat, df)

Arguments

n	An integer, representing the number of pairs of data to generate, number of rows in data set, or sample size.
locVec	A vector of length 2, representing the location parameter (equal to the mean vector when df>1).
scaleMat	A symmetric positive-definite 2x2 matrix representing the scale matrix of the distribution, such that S*df/(df-2) is the variance-covariance matrix when df>2
df	Integer greater than 3, representing degrees of freedom with df=Inf implying normal.

Details

It is suggested to use buildScaleMat to generate the scaleMat parameter.

Value

Returns a data set matrix with nrow = n and ncol= 2.

Examples

xmu = 0
ymu = 0
xsd = 1
ysd = 1
r = 0
df = Inf #normal
scaleMat <- buildScaleMat( xsd, ysd, r, df)
genData(10, c(xmu, ymu), scaleMat, df)

senresearch/lcest documentation built on Jan. 14, 2022, 5:29 p.m.