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SimDesign (version 0.6)

Structure for Organizing Monte Carlo Simulation Designs

Description

Provides tools to help safely and efficiently organize Monte Carlo simulations in R. The package controls the structure and back-end of Monte Carlo simulations by utilizing a general generate-analyse-summarise strategy. The functions provided control common simulation issues such as re-simulating non-convergent results, support parallel back-end and MPI distributed 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

0.6

License

GPL (>= 2)

Maintainer

Phil Chalmers

Last Published

January 21st, 2016

Functions in SimDesign (0.6)

SimDesign_functions

Skeleton functions for simulations
runSimulation

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

Compute the relative efficiency of multiple estimators
add_missing

Add missing values to a vector given a MCAR, MAR, or MNAR scheme
bias

Compute (relative) bias summary statistic
aggregate_simulations

Collapse separate simulation files into a single result
MAE

Compute the mean absolute error
summarise

Summarise simulated data using various population comparison statistics
generate

Generate data
ECR

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

Structure for Organizing Monte Carlo Simulation Designs
RMSE

Compute the (normalized) root mean square error
EDR

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

Compute estimates and statistics