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simMetric  

Metrics (with Uncertainty) for Simulation Studies that Evaluate Statistical Methods
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("simMetric", "0.1.1")



Attach the package and use:
library("simMetric")
Maintained by
Rex Parsons
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-04
Latest Update: 2022-10-31
Description:
Allows users to quickly apply individual or multiple metrics to evaluate Monte Carlo simulation studies.
How to cite:
Rex Parsons (2022). simMetric: Metrics (with Uncertainty) for Simulation Studies that Evaluate Statistical Methods. R package version 0.1.1, https://cran.r-project.org/web/packages/simMetric. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2022-01-04 16:30)
Other packages that cited simMetric R package
View simMetric citation profile
Other R packages that simMetric depends, imports, suggests or enhances
Complete documentation for simMetric
Functions, R codes and Examples using the simMetric R package
Some associated functions: bias . biasEliminatedCoverage . coverage . empSE . join_metrics . modSE . mse . rejection . relativeErrorModSE . relativePrecision . 
Some associated R codes: bias.R . biasEliminatedCoverage.R . coverage.R . empSE.R . modSE.R . mse.R . rejection.R . relativeErrorModSE.R . relativePrecision.R . utils.R .  Full simMetric package functions and examples
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