neg_loglik_am: Maximum likelihood estimator (MLE) for right-censored...

In sarahlotspeich/fitCensRd:

Maximum likelihood estimator (MLE) for right-censored covariates in normal linear regression

Description

Maximum likelihood estimator (MLE) for right-censored covariates in normal linear regression

Usage

neg_loglik_am(params, Y, X, C, Z = NULL, data)

Arguments

params	Model parameter values.
Y	Name of column variable.
X	Name of censored covariate variable.
C	Name of observed version of X.
Z	(Optional) name(s) of additional fully observed covariates. Default is Z = NULL
data	A dataframe containing at least columns Y, X, C, Z.

Value

A list with the following two elements:

coeff	A dataframe containing coefficient and standard error estimates at convergence.
code	An integer indicating why the optimization process terminated. See ?nlm for details on values.

sarahlotspeich/fitCensRd documentation built on Oct. 14, 2024, 4:52 a.m.