Tidy data frames from verb result objects
Source:R/survmat-class.R, R/verb-methods.R
survalis-tidiers.Rdas.data.frame() methods that return the most useful rectangular view of
each result object, for downstream plotting or reporting:
Usage
# S3 method for class 'survmat'
as.data.frame(x, ..., format = c("wide", "long"))
# S3 method for class 'survalis_fit'
as.data.frame(x, ...)
# S3 method for class 'survalis_eval'
as.data.frame(x, ...)
# S3 method for class 'survalis_tune'
as.data.frame(x, ...)
# S3 method for class 'survalis_compare'
as.data.frame(x, ...)
# S3 method for class 'survalis_estimate'
as.data.frame(x, ...)Details
survalis_fit– a one-row model summary (model,engine,formula,n,events).survmat(frompredict()) – by default the wide prediction matrix with one"t=<time>"column per evaluation time;format = "long"returns one row per observation and time (id,time,value).survalis_eval– the per-split metric values (id,metric,value).survalis_tune– the scored hyperparameter grid.survalis_compare– the model-by-metric leaderboard (model,metric,mean,se).survalis_estimate– a one-row summary (estimand,tau,estimate,conf_low,conf_high,model).