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_survobjects.

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"