The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

paramsim: Parameterized Simulation

This function obtains a Random Number Generator (RNG) or collection of RNGs that replicate the required parameter(s) of a distribution for a time series of data. Consider the case of reproducing a time series data set of size 20 that uses an autoregressive (AR) model with phi = 0.8 and standard deviation equal to 1. When one checks the arima.sin() function's estimated parameters, it's possible that after a single trial or a few more, one won't find the precise parameters. This enables one to look for the ideal RNG setting for a simulation that will accurately duplicate the desired parameters.

Version: 0.1.0
Depends: R (≥ 4.2.0)
Imports: forecast, foreach, parallel, doParallel, future, stats, tibble
Suggests: knitr, testthat (≥ 3.0.0)
Published: 2023-01-23
DOI: 10.32614/CRAN.package.paramsim
Author: Daniel James [cre, aut], Ayinde Kayode [aut]
Maintainer: Daniel James <futathesis at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: paramsim results

Documentation:

Reference manual: paramsim.pdf
Vignettes: paramsim

Downloads:

Package source: paramsim_0.1.0.tar.gz
Windows binaries: r-devel: paramsim_0.1.0.zip, r-release: paramsim_0.1.0.zip, r-oldrel: paramsim_0.1.0.zip
macOS binaries: r-release (arm64): paramsim_0.1.0.tgz, r-oldrel (arm64): paramsim_0.1.0.tgz, r-release (x86_64): paramsim_0.1.0.tgz, r-oldrel (x86_64): paramsim_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=paramsim to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.