COVIMPUTEINITIALIZE: COVIMPUTEINITIALIZE
In lbeesleyBIOSTAT/MultiCure: EM Algorithms for Fitting Multistate Cure Models
Description
Usage
Arguments
Details
Value
Description
The function COVIMPUTEINITIALIZE will initialize the missing covariate values. An example function is included in the package, but the user must specify their own function when applying MultiCure to datasets with covariate missingness. This function must have input/output as described below.
Usage
1
COVIMPUTEINITIALIZE(Cov, CovMissing)
Arguments
Cov
matrix of covariates, same as in MultiCure
CovMissing:
A matrix indicating which elements of Cov are missing.
Details
The example code included in the package initializes missing covariate X2 in the Multistate cure model example
Value
Cov a initialized version of the covariate matrix
lbeesleyBIOSTAT/MultiCure documentation built on July 10, 2019, 5:27 a.m.
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Description Usage Arguments Details Value
Description
The function COVIMPUTEINITIALIZE will initialize the missing covariate values. An example function is included in the package, but the user must specify their own function when applying MultiCure to datasets with covariate missingness. This function must have input/output as described below.
Usage
1 | COVIMPUTEINITIALIZE(Cov, CovMissing)
|
Arguments
Cov |
matrix of covariates, same as in MultiCure |
CovMissing: |
A matrix indicating which elements of Cov are missing. |
Details
The example code included in the package initializes missing covariate X2 in the Multistate cure model example
Value
Cov a initialized version of the covariate matrix
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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