Package: rsimsum 0.13.0.9000

rsimsum: Analysis of Simulation Studies Including Monte Carlo Error

Summarise results from simulation studies and compute Monte Carlo standard errors of commonly used summary statistics. This package is modelled on the 'simsum' user-written command in 'Stata' (White I.R., 2010 <https://www.stata-journal.com/article.html?article=st0200>), further extending it with additional performance measures and functionality.

Authors:Alessandro Gasparini [aut, cre], Ian R. White [aut]

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rsimsum/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/ellessenne/rsimsum/issues

Pkgdown site:https://ellessenne.github.io

Datasets:
  • MIsim - Example of a simulation study on missing data
  • MIsim2 - Example of a simulation study on missing data
  • frailty - Example of a simulation study on frailty survival models
  • frailty2 - Example of a simulation study on frailty survival models
  • nlp - Example of a simulation study on survival modelling
  • relhaz - Example of a simulation study on survival modelling
  • tt - Example of a simulation study on the t-test

On CRAN:

biostatisticsmonte-carlo-errorsimulationsimulation-studysimulationsstatistics

8.28 score 27 stars 146 scripts 359 downloads 11 exports 37 dependencies

Last updated 8 months agofrom:7ac2502f4c. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKDec 12 2024
R-4.5-winOKDec 12 2024
R-4.5-linuxOKDec 12 2024
R-4.4-winOKDec 12 2024
R-4.4-macOKDec 12 2024
R-4.3-winOKDec 12 2024
R-4.3-macOKDec 12 2024

Exports:dropbigget_datais.multisimsumis.simsumis.summary.multisimsumis.summary.simsumkablemultisimsumnsimsimsumtidy

Dependencies:backportscheckmateclicolorspaceevaluatefansifarvergenericsggplot2ggridgesgluegtablehighrisobandknitrlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithrxfunyaml

Custom input values for confidence intervals and true values

Alessandro Gasparini

Rendered fromE-custom-inputs.Rmdusingknitr::rmarkdownon Dec 12 2024.

Last update: 2024-02-29
Started: 2019-11-28

Introduction to rsimsum

Alessandro Gasparini

Rendered fromA-introduction.Rmdusingknitr::rmarkdownon Dec 12 2024.

Last update: 2023-04-20
Started: 2019-07-12

Nested loop plots

Alessandro Gasparini

Rendered fromD-nlp.Rmdusingknitr::rmarkdownon Dec 12 2024.

Last update: 2019-11-15
Started: 2019-07-12

rsimsum and the tidyverse

Alessandro Gasparini

Rendered fromF-rsimsumtidyverse.Rmdusingknitr::rmarkdownon Dec 12 2024.

Last update: 2021-03-18
Started: 2019-11-28

Simulating a simulation study

Alessandro Gasparini

Rendered fromB-relhaz.Rmdusingknitr::rmarkdownon Dec 12 2024.

Last update: 2019-07-12
Started: 2019-07-12

Visualising results from rsimsum

Alessandro Gasparini

Rendered fromC-plotting.Rmdusingknitr::rmarkdownon Dec 12 2024.

Last update: 2023-03-19
Started: 2019-07-12