survcox_cv {survcompare} | R Documentation |
Cross-validates Cox or CoxLasso model
Description
Cross-validates Cox or CoxLasso model
Usage
survcox_cv(
df,
predict.factors,
fixed_time = NaN,
outer_cv = 3,
repeat_cv = 2,
randomseed = NULL,
return_models = FALSE,
inner_cv = 3,
useCoxLasso = FALSE
)
Arguments
df |
data frame with the data, "time" and "event" for survival outcome |
predict.factors |
list of predictor names |
fixed_time |
at which performance metrics are computed |
outer_cv |
k in k-fold CV, default 3 |
repeat_cv |
if NULL, runs once, otherwise repeats CV |
randomseed |
random seed |
return_models |
TRUE/FALSE, if TRUE returns all CV objects |
inner_cv |
k in the inner loop of k-fold CV, default is 3; only used if CoxLasso is TRUE |
useCoxLasso |
TRUE/FALSE, FALSE by default |
Value
list of outputs
Examples
df <- simulate_nonlinear()
coxph_cv <- survcox_cv(df, names(df)[1:4])
summary(coxph_cv)
[Package survcompare version 0.1.2 Index]