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SimDesign (version 0.9)

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

6,312

Version

0.9

License

GPL (>= 2)

Maintainer

Phil Chalmers

Last Published

April 27th, 2016

Functions in SimDesign (0.9)

Summarise

Summarise simulated data using various population comparison statistics
BF_sim_alternative

(Alternative) Example simulation from Brown and Forsythe (1974)
Analyse

Compute estimates and statistics
Generate

Generate data
bias

Compute (relative) bias summary statistic
MAE

Compute the mean absolute error
SimAnova

Function for decomposing the simulation into ANOVA-based effect sizes
SimDesign

Structure for Organizing Monte Carlo Simulation Designs
RMSE

Compute the (normalized) root mean square error
runSimulation

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

Skeleton functions for simulations
RE

Compute the relative efficiency of multiple estimators
BF_sim

Example simulation from Brown and Forsythe (1974)
SimClean

Removes/cleans files and folders that have been saved
ECR

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

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

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

Collapse separate simulation files into a single result