bothUncen.T: Log Likelihood Function Both Uncensored T

In senresearch/lcest: Left Censored Estimates

Description

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

Usage

bothUncen.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 sum would be log likelihood function if completely uncensored.

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