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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Peer review:

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

On CRAN:

1 exports 2 stars 0.83 score 54 dependencies 3 scripts 117 downloads

Last updated 2 years agofrom:1e0fdc4a7d. Checks:OK: 7. Indexed: yes.

Exports:arimasim

Dependencies:clicodetoolscolorspacecurldigestdoParallelfansifarverforeachforecastfracdifffuturegenericsggplot2globalsgluegtableisobanditeratorsjsonlitelabelinglatticelifecyclelistenvlmtestmagrittrMASSMatrixmgcvmunsellnlmennetparallellypillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalestibbletimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo