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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 functionality.

Functions (28)

Example of a simulation study on missing data

autoplot.multisimsum

autoplot method for multisimsum objects

autoplot.simsum

autoplot method for simsum objects

autoplot.summary.multisimsum

autoplot method for summary.multisimsum objects

autoplot.summary.simsum

autoplot method for summary.simsum objects

Identify replications with large point estimates, standard errors

Example of a simulation study on frailty survival models

get_data

is.multisimsum

is.multisimsum

is.simsum

is.summary.multisimsum

is.summary.multisimsum

is.summary.simsum

is.summary.simsum

kable.simsum

Create 'kable's

multisimsum

Analyses of simulation studies with multiple estimands at once, including Monte Carlo error

nlp

Example of a simulation study on survival modelling

nsim

Compute number of simulations required

print.multisimsum

print.multisimsum

print.simsum

print.simsum

print.summary.multisimsum

print.summary.multisimsum

print.summary.simsum

print.summary.simsum

Objects exported from other packages

Example of a simulation study on survival modelling

Analysis of Simulation Studies Including Monte Carlo Error

Analyses of simulation studies including Monte Carlo error

summary.multisimsum

Summarising multisimsum objects

summary.simsum

Summarising simsum objects

tidy

Turn an object into a tidy dataset

Example of a simulation study on the t-test

rsimsum

Analysis of Simulation Studies Including Monte Carlo Error

v0.10.0

GPL (>= 3)

Authors

Alessandro Gasparini [aut, cre] (<https://orcid.org/0000-0002-8319-7624>), Ian R. White [aut]

Initial release

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