tcensReg_llike_sepvar

Numeric vector containing the values at the present iterate for the (p-1) fixed mean parameters and the J log sigma values

theta

Numeric vector containing the outcome

Factor variable used to define the J groups

group

Numeric scalar defining the common truncation value for each Truncated Normal

Numeric scalar defining the common censoring value

This function is part of the supporting function space to calculate the value of the log-likelihood at the nth iteration of theta.
For this parametrization we assume that there exists (p-1) linear parameters for the mean and J separate variance parameters.

internal

Maximum likelihood estimation (MLE) of parameters assuming an underlying left truncated normal distribution with left censoring described in Williams, J, Kim, H, and Crespi, C. (2020) <doi:10.1186/s12874-020-01032-9>. Censoring is assumed to occur above the truncation threshold meaning that only censored observations are observed. Additional maximum likelihood estimation procedures are implemented to solve left censored only and left truncated only problems.

tcensReg_llike_sepvar: Log Likelihood for Model for J independent Truncated Normal Variables with Same Mean Structure but Different Variance

Description

Usage

Arguments

Value