Create a list containing the parameters of multiple fitted parametric survival models.

params_surv_list(...)

Arguments

...

Objects of class params_surv, which can be named.

Value

An object of class params_surv_list, which is a list containing params_surv objects.

See also

Examples

n <- 5 params <- params_surv_list( # Model for progression free survival pfs = params_surv( coefs = list( rate = data.frame(intercept = rnorm(n, log(.5), .5), new_strategy = rnorm(n, log(.8), .1)) ), dist = "exp" ), # Model for overall survival os = params_surv( coefs = list( rate = data.frame(intercept = rnorm(n, log(.3) , .5)) ), dist = "exp" ) ) summary(params)
#> model parameter term mean sd 2.5% 97.5% #> 1: pfs rate intercept -0.8726159 0.24081414 -1.2026091 -0.61584260 #> 2: pfs rate new_strategy -0.2014094 0.08236334 -0.3060481 -0.09755478 #> 3: os rate intercept -1.6255189 0.50162021 -2.3404895 -1.14510565
params
#> A "params_surv_list" object #> #> Summary of coefficients: #> model parameter term mean sd 2.5% 97.5% #> 1: pfs rate intercept -0.8726159 0.24081414 -1.2026091 -0.61584260 #> 2: pfs rate new_strategy -0.2014094 0.08236334 -0.3060481 -0.09755478 #> 3: os rate intercept -1.6255189 0.50162021 -2.3404895 -1.14510565 #> #> Number of parameter samples: 5 #> Distributions: #> pfs os #> "exp" "exp"