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Overview

hesim is an R package for health economic simulation modeling and decision analysis that provides a general framework for integrating statistical analyses with economic evaluation. The package currently supports N-state partitioned survival models (PSMs) and individual-level continuous time state transition models (CTSTMs), as well as summarizing the output of probabilistic sensitivity analysis (PSA). It is designed for high performance simulation modeling and heavily utilizes Rcpp and data.table. hesim is being actively developed and subsequent versions will provide support for cohort-level state transition models.

Features of the current version include:

N-state PSMs and individual-level CTSTMs
Modeling patient heterogeneity
Parameter estimates from either an R based model or from an external source
Sampling parameters of a statistical model fit with R using Monte Carlo methods or bootstrapping
Parameter uncertainty propagated with PSA
Performing cost-effectiveness analyses and representing decision uncertainty from PSAs
Simulation code written in C++ to boost performance

Installation

# Install the most up to date development version from GitHub:
# install.packages("devtools")
devtools::install_github("InnovationValueInitiative/hesim")

# Install v0.1 (without economic modeling) from CRAN:
install.packages("hesim")

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Version

Install

install.packages('hesim')

Monthly Downloads

511

Version

0.2.0

License

GPL-3

Issues

Pull Requests

Stars

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Repository

https://github.com/InnovationValueInitiative/hesim

Maintainer

Devin Incerti

Last Published

March 28th, 2019

Functions in hesim (0.2.0)

create_trans_dt

Create a data table of health state transitions

Individual-level continuous time state transition model

create_input_mats

Create input matrices

Individualized cost-effectiveness analysis

Table to store state value parameters

Method of moments for gamma distribution

params_joined_surv

Parameters of joined survival models

create_lines_dt

Create a data table of treatment lines

create_object_list

Form a list from ...

expand.hesim_data

Expand hesim_data

Absorbing states

IndivCtstmTrans

Transitions for an individual-level continuous time state transition model

Model for state values

check.input_mats

Input validation for class objects

Random generation for generalized gamma distribution

Check data argument for create_input_mats

hesim: an R package for high performance health-economic simulation modeling

Data for health-economic simulation modeling

Create a parameter object from a fitted model

Parameters of a list of linear models

Input matrices for a statistical model

Join statistical models at specified times

Parameters of a survival model

Bootstrap a statistical model

Random generation for categorical distribution

Random generation for multiple Dirichlet distributions

create_IndivCtstmTrans

Create IndivCtstmTrans object

A cost-effectiveness object

Example data for a 3-state continuous time state transition model

Partitioned survival regression object

Summarize costs and effectiveness

Survival quantiles

flexsurvreg_list

List of flexsurvreg objects

create_PsmCurves

Create PsmCurves object

Incremental treatment effect

List of lm objects

params_joined_surv_list

Parameters of joined lists of survival models

List of formula objects

Method of moments for beta distribution

Parameters of a linear model

Parameters of a mean model

params_surv_list

Parameters of a list of survival models

Example data for a 4-state partitioned survival model

Parameterization of the Weibull distribution for network meta-analysis

hesim_survdists

List of survival distributions

create_StateVals

Create StateVals object

N-state partitioned survival model

Partitioned survival curves

Random generation for piecewise exponential distribution