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SimDesign (version 0.4.1)

Structure for Organizing Monte Carlo Simulation Designs

Description

Provides tools to help organize Monte Carlo simulations in R. The tools provided control the structure and back-end of the Monte Carlo simulations by utilizing a generate-analyse-summarise strategy. The functions control common simulation issues such as re-simulating non-convergent results, support parallel back-end computations, save and restore temporary files, aggregate results across independent nodes, and provide native support for debugging.

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Version

Install

install.packages('SimDesign')

Monthly Downloads

8,954

Version

0.4.1

License

GPL (>= 2)

Maintainer

Phil Chalmers

Last Published

November 20th, 2015

Functions in SimDesign (0.4.1)

ECR

Compute the empirical coverage rate for Type I errors and Power
SimDesign

Structure for Organizing Monte Carlo Simulation Designs
summarise

Summarise simulated data using various population comparison statistics
RE

Compute the relative efficiency of multiple estimators
check_error

Check if object contains an error and stop flow
bias

Compute (relative) bias summary statistic
runSimulation

Run a Monte Carlo simulation given a data.frame of conditions and simulation functions
generate

Generate data
EDR

Compute the empirical detection rate for Type I errors and Power
RMSE

Compute the (normalized) root mean square error
MAE

Compute the mean absolute error
analyse

Compute estimates and statistics
aggregate_simulations

Collapse separate simulation files into a single result
SimDesign_functions

Skeleton functions for simulations