Package: paramsim
Type: Package
Title: Parameterized Simulation
Version: 0.1.0
Authors@R: c(
  person("Daniel", "James", email = "futathesis@gmail.com", role = c("cre","aut")),
  person("Ayinde", "Kayode", email = "kayinde@futa.edu.ng", role = "aut"))
Maintainer: Daniel James <futathesis@gmail.com>
Description: 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.
Depends: R (>= 4.2.0)
Imports: forecast, foreach, parallel, doParallel, future, stats, tibble
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.2.3
Suggests: knitr, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-20 14:06:45 UTC; economia
Author: Daniel James [cre, aut],
  Ayinde Kayode [aut]
Repository: CRAN
Date/Publication: 2023-01-23 07:50:06 UTC
Built: R 4.6.0; ; 2026-04-28 20:04:27 UTC; unix
