bothCen.T: Log Likelihood Function Both Censored T

In senresearch/lcest: Left Censored Estimates

Description

This is the portion of the log likelihood function when both x and y are censored for bivariate T distributed data.

Usage

bothCen.T(thetaIS, cenData, df)

Arguments

thetaIS	vector of parameters to optimize, as scale parameters and untransformed.
cenData	matrix of data in which first two columns hold data values for x and y and the second two columns hold flags for censoring such that 1 implies censored and 0 implies not censored.
df	Degrees of Freedom must be greater than 3 and an integer.

Value

Vector whose to be summed for for this portion of the log liklihood function.

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