readme.md

In PolicyAnalysisInc/herosurv: A Grammar of Survival Operations for CE Models

herosurv

Overview

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.

Installation

# Install latest version from github
install_github("PolicyAnalysisInc/herosurv")

Defining Survival Distributions

• 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

Modifying Survival Distributions

• 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()

Combining Survival Distributions

• Join survival distributions together at specified times: join()
• Mix together survival distributions with specified weights: mix()
• Combine distributions as independent risks: add_hazards()

Generating Predicted Values

• Generate survival probabilities: surv_prob()
• Generate event probabilities: event_prob()

PolicyAnalysisInc/herosurv documentation built on May 21, 2023, 10:12 a.m.