ScoreEqn: Score equations of finite parameters
In depCensoring: Statistical Methods for Survival Data with Dependent Censoring
View source: R/NonparametricTransformation.R
ScoreEqn R Documentation
Score equations of finite parameters
Description
This function computes the score vectors and the Jacobean matrix for finite model parameters.
Usage
ScoreEqn(theta, resData, X, W, H)
Arguments
theta
Vector of parameters in the semiparametric transformation model.
resData
Data matrix with three columns; Z = the observed survival time, d1 = the censoring indicator of T
and d2 = the censoring indicator of C.
X
Data matrix with covariates related to T.
W
Data matrix with covariates related to C.
H
The estimated non-parametric transformation function for a given value of theta
depCensoring documentation built on April 4, 2025, 1:52 a.m.
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View source: R/NonparametricTransformation.R
| ScoreEqn | R Documentation |
Score equations of finite parameters
Description
This function computes the score vectors and the Jacobean matrix for finite model parameters.
Usage
ScoreEqn(theta, resData, X, W, H)
Arguments
theta |
Vector of parameters in the semiparametric transformation model. |
resData |
Data matrix with three columns; Z = the observed survival time, d1 = the censoring indicator of T and d2 = the censoring indicator of C. |
X |
Data matrix with covariates related to T. |
W |
Data matrix with covariates related to C. |
H |
The estimated non-parametric transformation function for a given value of theta |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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