phregR: Fast Cox PH regression and calculations done in R to make...
In mets: Analysis of Multivariate Event Times
phregR R Documentation
Fast Cox PH regression and calculations done in R to make play and adjustments easy
Description
Fast Cox PH regression with R implementation to play and adjust in R function: FastCoxPLstrataR
Usage
phregR(formula, data, offset = NULL, weights = NULL, ...)
Arguments
formula
formula with 'Surv' outcome (see coxph)
data
data frame
offset
offsets for cox model
weights
weights for Cox score equations
...
Additional arguments to lower level funtions
Details
Robust variance is default variance with the summary.
influence functions (iid) will follow numerical order of given cluster variable
so ordering after $id will give iid in order of data-set.
Author(s)
Klaus K. Holst, Thomas Scheike
mets documentation built on May 29, 2024, 3:51 a.m.
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| phregR | R Documentation |
Fast Cox PH regression and calculations done in R to make play and adjustments easy
Description
Fast Cox PH regression with R implementation to play and adjust in R function: FastCoxPLstrataR
Usage
phregR(formula, data, offset = NULL, weights = NULL, ...)
Arguments
formula |
formula with 'Surv' outcome (see |
data |
data frame |
offset |
offsets for cox model |
weights |
weights for Cox score equations |
... |
Additional arguments to lower level funtions |
Details
Robust variance is default variance with the summary.
influence functions (iid) will follow numerical order of given cluster variable so ordering after $id will give iid in order of data-set.
Author(s)
Klaus K. Holst, Thomas Scheike
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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