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mcstatsim  

Monte Carlo Statistical Simulation Tools Using a Functional Approach
View on CRAN: Click here


Download and install mcstatsim package within the R console
Install from CRAN:
install.packages("mcstatsim")

Install from Github:
library("remotes")
install_github("cran/mcstatsim")

Install by package version:
library("remotes")
install_version("mcstatsim", "0.5.0")



Attach the package and use:
library("mcstatsim")
Maintained by
Imad EL BADISY
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-11
Latest Update: 2024-06-11
Description:
A lightweight, dependency-free tool designed to facilitate statistical simulations through functional programming. It centralizes the simulation process into a single higher-order function, enhancing manageability and usability without adding overhead from external dependencies. The package includes ready-to-use functions for common simulation targets and processes. A detailed example can be found on <https://github.com/ielbadisy/mcstatsim>.
How to cite:
Imad EL BADISY (2024). mcstatsim: Monte Carlo Statistical Simulation Tools Using a Functional Approach. R package version 0.5.0, https://cran.r-project.org/web/packages/mcstatsim. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.0 (2024-06-11 14:50)
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Complete documentation for mcstatsim
Functions, R codes and Examples using the mcstatsim R package
Full mcstatsim package functions and examples
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