herosurv is a grammar of survival modeling for use in health economic modeling. It provides a series of verbs that help you define, combine, and modify survival distributions.
# Install latest version from github
install_github("PolicyAnalysisInc/herosurv")- Parametric distributions with specified parameter values:
define_surv_param() - Parametric mixture & non-mixture cure models with specified parameter values:
define_surv_cure() - Royston & Parmar spline models with specified parameter values:
define_surv_spline() - Life-tables:
define_surv_lifetable() - Kaplan-Meiers based on product-limit table:
define_surv_km() - Custom Functions:
define_surv_func() - Full support for models estimated using flexsurv package
- Partial support for KMs & Cox Models estimated using survival package
- Apply hazard ratio:
apply_hr() - Apply odds ratio:
apply_or() - Apply acceleration factor:
apply_af() - Apply shift in time:
apply_shift() - Set covariate levels of models with covariates:
set_covariates()
- Join survival distributions together at specified times:
join() - Mix together survival distributions with specified weights:
mix() - Combine distributions as independent risks:
add_hazards()
- Generate survival probabilities:
surv_prob() - Generate event probabilities:
event_prob()