clikcorr (version 1.0)

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

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.

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.

Details

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

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")