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SimDesign (version 0.8)

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

0.8

License

GPL (>= 2)

Maintainer

Phil Chalmers

Last Published

March 22nd, 2016

Functions in SimDesign (0.8)

BF_sim_alternative

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

Compute the relative efficiency of multiple estimators
BF_sim

Example simulation from Brown and Forsythe (1974)
add_missing

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

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

Collapse separate simulation files into a single result
RMSE

Compute the (normalized) root mean square error
SimAnova

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

Generate data
SimClean

Removes/cleans files and folders that have been saved
SimDesign

Structure for Organizing Monte Carlo Simulation Designs
runSimulation

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

Summarise simulated data using various population comparison statistics
Analyse

Compute estimates and statistics
SimFunctions

Skeleton functions for simulations
EDR

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

Compute the mean absolute error
bias

Compute (relative) bias summary statistic