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.
|Author||Phil Chalmers [aut, cre]|
|Date of publication||2016-11-06 23:34:19|
|Maintainer||Phil Chalmers <firstname.lastname@example.org>|
|License||GPL (>= 2)|
add_missing: Add missing values to a vector given a MCAR, MAR, or MNAR...
aggregate_simulations: Collapse separate simulation files into a single result
Analyse: Compute estimates and statistics
Attach: Attach the simulation conditions for easier reference
BF_sim: Example simulation from Brown and Forsythe (1974)
BF_sim_alternative: (Alternative) Example simulation from Brown and Forsythe...
bias: Compute (relative) bias summary statistic
ECR: Compute the empirical coverage rate for Type I errors and...
EDR: Compute the empirical detection rate for Type I errors and...
Generate: Generate data
MAE: Compute the mean absolute error
RE: Compute the relative efficiency of multiple estimators
RMSE: Compute the (normalized) root mean square error
runSimulation: Run a Monte Carlo simulation given a data.frame of conditions...
SimAnova: Function for decomposing the simulation into ANOVA-based...
SimClean: Removes/cleans files and folders that have been saved
SimDesign: Structure for Organizing Monte Carlo Simulation Designs
SimFunctions: Skeleton functions for simulations
SimResults: Function to read in saved simulation results
Summarise: Summarise simulated data using various population comparison...