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microsimulation
View on CRAN: Click
here
Download and install microsimulation package within the R console
Install from CRAN:
install.packages("microsimulation")
Install from Github:
library("remotes")
install_github("cran/microsimulation")
Install by package version:
library("remotes")
install_version("microsimulation", "1.4.4")
Attach the package and use:
library("microsimulation")
Maintained by
Mark Clements
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-20
Latest Update: 2023-07-19
Description:
Discrete event simulation using both R and C++ (Karlsson et al 2016; ). The C++ code is adapted from the SSIM library , allowing for event-oriented simulation. The code includes a SummaryReport class for reporting events and costs by age and other covariates. The C++ code is available as a static library for linking to other packages. A priority queue implementation is given in C++ together with an S3 closure and a reference class implementation. Finally, some tools are provided for cost-effectiveness analysis.
How to cite:
Mark Clements (2021). microsimulation: Discrete Event Simulation in R and C++, with Tools for Cost-Effectiveness Analysis. R package version 1.4.4, https://cran.r-project.org/web/packages/microsimulation. Accessed 22 Dec. 2024.
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Complete documentation for microsimulation
Functions, R codes and Examples using
the microsimulation R package
Some associated functions: Classes . Data . Examples . Internal . RNGStream . SummaryReport . Utilities . discountedInterval . microsimulation-package . simulate .
Some associated R codes: SummaryReport.R . calibSim.R . plugin.R . pqueue.R . rcpp_hello_world.R . simulate.R . zzz.R . Full microsimulation package functions and examples
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