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

11 exports 27 stars 2.62 score 37 dependencies 145 scripts 508 downloads

Last updated 4 months agofrom:7ac2502f4c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winOKSep 13 2024
R-4.5-linuxOKSep 13 2024
R-4.4-winOKSep 13 2024
R-4.4-macOKSep 13 2024
R-4.3-winOKSep 13 2024
R-4.3-macOKSep 13 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 Sep 13 2024.

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

Introduction to rsimsum

Alessandro Gasparini

Rendered fromA-introduction.Rmdusingknitr::rmarkdownon Sep 13 2024.

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

Nested loop plots

Alessandro Gasparini

Rendered fromD-nlp.Rmdusingknitr::rmarkdownon Sep 13 2024.

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

rsimsum and the tidyverse

Alessandro Gasparini

Rendered fromF-rsimsumtidyverse.Rmdusingknitr::rmarkdownon Sep 13 2024.

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

Simulating a simulation study

Alessandro Gasparini

Rendered fromB-relhaz.Rmdusingknitr::rmarkdownon Sep 13 2024.

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

Visualising results from rsimsum

Alessandro Gasparini

Rendered fromC-plotting.Rmdusingknitr::rmarkdownon Sep 13 2024.

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