CheckInfoPD

Stops with an error if the inverse information matrix has any negative
diagonal element (indicating the information matrix is not positive definite).

internal

Performs maximum likelihood based estimation and inference on time to event data, possibly subject to non-informative right censoring. FitParaSurv() provides maximum likelihood estimates of model parameters and distributional characteristics, including the mean, median, variance, and restricted mean. CompParaSurv() compares the mean, median, and restricted mean survival experiences of two treatment groups. Candidate distributions include the exponential, gamma, generalized gamma, log-normal, and Weibull.

Zachary McCaw

Temporal

Parametric Time to Event Analysis

CheckInfoPD function

<dl><dt>inv_info</dt>
<dd>Inverse of the observed information matrix.</dd></dl>

Arguments

Check Information Matrix Positive Definiteness — CheckInfoPD

<dl>

<dt>inv_info</dt>
<dd>Inverse of the observed information matrix.</dd>

</dl>

CheckInfoPD: Check Information Matrix Positive Definiteness

Description

Usage

Value

Arguments