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paramsim

Parameterized Simulation

v0.1.0 · Jan 22, 2023 · GPL (>= 2)

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.

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Check History

OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
NOTE 12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 8, 2026
NOTE r-devel-linux-x86_64-debian-gcc

R code for possible problems

Fatal error: cannot create 'R_TempDir'
OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE May 9, 2026
WARNING 12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE May 6, 2026
WARNING r-devel-linux-x86_64-debian-clang

PDF version of manual

LaTeX errors when creating PDF version.
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LaTeX errors found:
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies forecast foreach doParallel future tibble paramsim

Version History

1 tracked
new 0.1.0 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Jan 23, 2023. Releases before tracking aren’t shown.