sv: Calculating starting values for the vector of (mean1, mean2,...

In clikcorr: Censoring Data and Likelihood-Based Correlation Estimation

Description

Calculates starting values for the vector of (mean1, mean2, var1, corr, var2) from completely observed data.

Usage

sv(data, lower1, upper1, lower2, upper2)

Arguments

data	a data frame name.
lower1	the lower bound of the first variable of the two variables whose correlation coefficient to be calculated.
upper1	the upper bound of the first variable of the two variables whose correlation coefficient to be calculated.
lower2	the lower bound of the second variable of the two variables whose correlation coefficient to be calculated.
upper2	the upper bound of the second variable of the two variables whose correlation coefficient to be calculated.

Details

function sv calculates starting values for the vector of (mean1, mean2, var1, corr, var2) from completely observed data.

Value

mu1	starting value for the mean parameter of the first variable.
mu2	starting value for the mean parameter of the second variable.
var1	starting value for the variance parameter of the first variable.
cor	starting value for the correlation coefficient.
var2	starting value for the variance parameter of the second variable.

Author(s)

Yanming Li, Kerby Shedden, Brenda W. Gillespie and John A. Gillespie.

References

Yanming Li, Kerby Shedden, Brenda W. Gillespie and John A. Gillespie (2016). Calculating Profile Likelihood Estimates of the Correlation Coefficient in the Presence of Left, Right or Interval Censoring and Missing Data.

Examples

data(ND)
logND <- log(ND)

sv(logND, "t1_TCDD", "t2_TCDD", "t1_PeCDD", "t2_PeCDD")

clikcorr documentation built on May 1, 2019, 7:29 p.m.