Description
Generate Simulated Datasets.
Description
Generate simulated datasets from an initial underlying distribution and apply transformations to obtain realistic data. Implements the 'NORTA' (Normal-to-anything) approach from Cario and Nelson (1997) and other data generating mechanisms. Simple network visualization tools are provided to facilitate communicating the simulation setup.
README.md
simdata: An R package to create simulated datasets
This package provides lightweight and easy-to-use data generating mechanisms for statistical simulation studies.
Installation
install.packages("simdata")
# Alternatively, install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("matherealize/simdata")
# to also build vignettes locally use
# devtools::install_github("matherealize/simdata", build_vignettes = TRUE)
In case you encounter an http 401 error during installation from GitHub, this is not due to the package itself, but due to rate limits set by GitHub. Please refer to these steps from the remotes Github repository to resolve the issue.
Usage
Please take a look at the package vignettes:
- Introduction to
simdatapackage and basic workflow - Introduction to NORTA based simulation workflow
- Technical documentation, implementation overview
Status and future plans
The package is in active development, but is already used in several simulation studies. We plan to provide a library of data generators for interesting real-world dataset in upcoming versions of the package.
Contact
For feedback and issues when working with the package please create a new Issue at Github or send me an email.