Package: paramsim 0.1.0

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.

Authors:Daniel James [cre, aut], Ayinde Kayode [aut]

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paramsim.pdf |paramsim.html
paramsim/json (API)

# Install 'paramsim' in R:
install.packages('paramsim', repos = c('https://sta189332.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sta189332/paramsim/issues

On CRAN:

Conda:

3.30 score 2 stars 3 scripts 136 downloads 1 exports 54 dependencies

Last updated 2 years agofrom:1e0fdc4a7d. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-winOKMar 10 2025
R-4.5-macOKMar 10 2025
R-4.5-linuxOKMar 10 2025
R-4.4-winOKMar 10 2025
R-4.4-macOKMar 10 2025
R-4.4-linuxOKMar 10 2025
R-4.3-winOKMar 10 2025
R-4.3-macOKMar 10 2025

Exports:arimasim

Dependencies:clicodetoolscolorspacecurldigestdoParallelfansifarverforeachforecastfracdifffuturegenericsggplot2globalsgluegtableisobanditeratorsjsonlitelabelinglatticelifecyclelistenvlmtestmagrittrMASSMatrixmgcvmunsellnlmennetparallellypillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalestibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo

paramsim

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Last update: 2022-12-16
Started: 2022-12-16