compute_kmmc: Compute KMMC statistics
In ronkeizer/vpc: Create Visual Predictive Checks
compute_kmmc R Documentation
Compute KMMC statistics
Description
Kaplan-Meier Mean Covariate plots are a simulation-based diagnostic to study the influence of covariates and identify potential model misspecification.
Usage
compute_kmmc(dat, strat = NULL, reverse_prob = FALSE, kmmc = "DOSE")
Arguments
dat
data.frame with events
strat
vector of stratification variables
reverse_prob
reverse the probability (i.e. return '1-probability')?
kmmc
variable to create the KMMC plot for.
ronkeizer/vpc documentation built on May 11, 2023, 11:09 p.m.
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| compute_kmmc | R Documentation |
Compute KMMC statistics
Description
Kaplan-Meier Mean Covariate plots are a simulation-based diagnostic to study the influence of covariates and identify potential model misspecification.
Usage
compute_kmmc(dat, strat = NULL, reverse_prob = FALSE, kmmc = "DOSE")
Arguments
dat |
data.frame with events |
strat |
vector of stratification variables |
reverse_prob |
reverse the probability (i.e. return '1-probability')? |
kmmc |
variable to create the KMMC plot for. |
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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