tcensReg_hess

Numeric vector containing estimates of \(\beta\) and \(\log(\sigma)\)

theta

Numeric vector with the observed truncated and censored outcomes

Numeric scalar indicating the truncation value. Initial value is -Inf indicating no truncation

Numeric scalar indicating the censoring value. Initially set to NULL indicating no censoring

Hessian Matrix for Truncated Normal Distribution with Censoring with Linear Equation Mean

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_hess: Hessian Matrix for Truncated Normal Distribution with Censoring with Linear Equation Mean

Description

Usage

Arguments

Value