hesim (version 0.2.3)

joined: Join statistical models at specified times

Description

Construct classes which are used to join statistical models at specified time points. The first model is used prior to the first time point, the second model is used prior to the second time point, and so on. There should be N + 1 models and N time points. Can be used to join a single set of models (e.g., for survival analysis or for making predictions from a jointly estimated multi-state model) or to join multiple sets of models (e.g., predicting curves in a partitioned survival analysis).

Usage

joined_formula(..., times)
joined_formula_list(..., times)
joined_flexsurvreg(..., times)
joined_flexsurvreg_list(..., times)

Arguments

...

Model objects to join. Currently supports objects of class formula, formula_list, flexsurvreg, and flexsurvreg_list.

times

Times at which to join models. If joining a single set of models, then a sorted numeric vector of times. If joining multiple sets of models, then a list of sorted numeric vectors, with the length of each list element equal to the number of sets of models.

Value

Returns a class of the same name as the function that is a list with two variables:

models

List of joined models.

times

Time points to join models.

Examples

# NOT RUN {
# joined_formula
joined_fm <- joined_formula(f1 = formula(~ age), f2 = formula(~ 1),
                                 f3 = formula(~age + age2),
                                 times = c(2, 3))
print(joined_fm)
 
# joined_formula_list
fm_list1 <- formula_list(f1 = formula(~ age), f2 = formula(~ 1))
fm_list2 <- formula_list(f1 = formula(~ age), f2 = formula(~ age2), f3 = formula(~age3))
joined_fm_list <- joined_formula_list(model1 = fm_list1, model2 = fm_list2, 
                                     times = list(5, c(2, 4)))
class(joined_fm_list)                                             
                                            
# joined_flexsurvreg
library("flexsurv")
fit_wei <- flexsurv::flexsurvreg(formula = Surv(futime, fustat) ~ 1, 
                                data = ovarian, dist = "weibull")
fit_exp <- flexsurv::flexsurvreg(formula = Surv(futime, fustat) ~ 1, 
                                 data = ovarian, dist = "exp")
joined_fsr <- joined_flexsurvreg(fit_wei, fit_exp, times = 5)
class(joined_fsr)
# }