linreg_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

linreg_am(params0, Y, X, C, Z = NULL, data, steptol = 1e-06, iterlim = 100)

Arguments

params0	Starting 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.
steptol	(Fed to nlm()) A positive scalar providing the minimum allowable relative step length. Default is steptol = 1e-6.
iterlim	(Fed to nlm()) A positive integer specifying the maximum number of iterations to be performed before the program is terminated. Default is iterlim = 100.

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.