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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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

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 713 downloads 11 exports 37 dependencies

Last updated 6 months agofrom:7ac2502f4c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winOKNov 12 2024
R-4.5-linuxOKNov 12 2024
R-4.4-winOKNov 12 2024
R-4.4-macOKNov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 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 Nov 12 2024.

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

Introduction to rsimsum

Alessandro Gasparini

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

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

Nested loop plots

Alessandro Gasparini

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

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

rsimsum and the tidyverse

Alessandro Gasparini

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

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

Simulating a simulation study

Alessandro Gasparini

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

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

Visualising results from rsimsum

Alessandro Gasparini

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

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