jointly estimate all treatments generate Stan code
Usage
bmcm_stan(
input_data,
formula,
cureformula = ~1,
family_latent = "exponential",
prior_latent = NA,
prior_cure = list(),
centre_coefs = FALSE,
bg_model = c("bg_distn", "bg_fixed"),
bg_varname = "bg_rate",
bg_hr = 1,
t_max = 70,
save_stan_code = FALSE,
read_stan_code = FALSE,
precompiled_model_path = NA,
use_cmdstanr = FALSE,
...
)Arguments
- input_data
Long format data frame
- formula
R formula object for latent model component
- cureformula
R formula object for cure fraction model component
- family_latent
Name of distribution, from "exp", "weibull", "gompertz", "lognormal", "loglogistic", "gengamma". Single string or vector of length number of end-points
- prior_latent
Optional
- prior_cure
Optional
- centre_coefs
Logical
- bg_model
User supplied distribution or estimated. In future this will be probabilities or fitted model object.
- bg_varname
Background variable name in
input_data- bg_hr
Background hazard ratio adjustment
- t_max
Maximum time horizon
- precompiled_model_path
Path to precompiled model, Default is NA
- use_cmdstanr
Logical. If TRUE, use cmdstanr to fit the model. Default is FALSE.
- ...
Additional parameters to pass to the Stan sampler