Package: simhelpers 0.3.1.9999

simhelpers: Helper Functions for Simulation Studies

Calculates performance criteria measures and associated Monte Carlo standard errors for simulation results. Includes functions to help run simulation studies, following a general simulation workflow that closely aligns with the approach described by Morris, White, and Crowther (2019) <doi:10.1002/sim.8086>. Also includes functions for calculating bootstrap confidence intervals (including normal, basic, studentized, percentile, bias-corrected, and bias-corrected-and-accelerated) with tidy output, as well as for extrapolating confidence interval coverage rates and hypothesis test rejection rates following techniques suggested by Boos and Zhang (2000) <doi:10.1080/01621459.2000.10474226>.

Authors:Megha Joshi [aut, cre], James Pustejovsky [aut]

simhelpers_0.3.1.9999.tar.gz
simhelpers_0.3.1.9999.zip(r-4.7)simhelpers_0.3.1.9999.zip(r-4.6)simhelpers_0.3.1.9999.zip(r-4.5)
simhelpers_0.3.1.9999.tgz(r-4.6-any)simhelpers_0.3.1.9999.tgz(r-4.5-any)
simhelpers_0.3.1.9999.tar.gz(r-4.7-any)simhelpers_0.3.1.9999.tar.gz(r-4.6-any)
simhelpers_0.3.1.9999.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
simhelpers/json (API)

# Install 'simhelpers' in R:
install.packages('simhelpers', repos = c('https://meghapsimatrix.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/meghapsimatrix/simhelpers/issues

Pkgdown/docs site:https://meghapsimatrix.github.io

Datasets:
  • alpha_res - Cronbach's alpha simulation results
  • t_res - T-test simulation results
  • Tipton_Pusto - Results for Figure 2 of Tipton & Pustejovsky
  • welch_res - Welch t-test simulation results

On CRAN:

Conda:

7.16 score 12 stars 81 scripts 326 downloads 13 exports 30 dependencies

Last updated from:48b418e935. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK192
source / vignettesOK203
linux-release-x86_64OK187
macos-release-arm64OK125
macos-oldrel-arm64OK100
windows-develOK157
windows-releaseOK141
windows-oldrelOK171
wasm-releaseOK123

Exports:bootstrap_CIsbootstrap_pvalsbundle_simcalc_absolutecalc_coveragecalc_rejectioncalc_relativecalc_relative_varcreate_skeletonevaluate_by_rowextrapolate_coverageextrapolate_rejectionrepeat_and_stack

Dependencies:clicodetoolscpp11digestdplyrfurrrfuturegenericsglobalsgluelifecyclelistenvmagrittrparallellypillarpkgconfigpurrrR6rbibutilsRdpackrlangrstudioapistringistringrtibbletidyrtidyselectutf8vctrswithr

Simulation Performance Criteria and MCSE
Performance Criteria and MCSE | Absolute Criteria | Example | Relative Criteria | Relative Criteria for Variance Estimators | Hypothesis Testing and Confidence Intervals | How to Evaluate MCSE | References
Rendered fromMCSE.Rmdusingknitr::rmarkdown

Last update: 2024-09-04
Started: 2020-01-05

Simulation Workflow
Initial Experimental Design | Data Generating Model | Estimation Methods | Convergence Issues | Performance Summaries | Simulation Driver | Experimental Design Revisit | Running the Simulation in Serial | Running the Simulation in Parallel | Example from simhelpers | References
Rendered fromsimulation_workflow.Rmdusingknitr::rmarkdown

Last update: 2024-09-03
Started: 2020-01-18

Presenting Results from Simulation Studies
Introduction to Tipton & Pustejovsky (2015) | The Tipton_Pusto Dataset | Data Cleaning | Visualization | Interpretation of Results | Monte Carlo Standard Error | References
Rendered fromvisualization.Rmdusingknitr::rmarkdown

Last update: 2020-10-12
Started: 2020-03-14