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paramsim  

Parameterized Simulation
View on CRAN: Click here


Download and install paramsim package within the R console
Install from CRAN:
install.packages("paramsim")

Install from Github:
library("remotes")
install_github("cran/paramsim")

Install by package version:
library("remotes")
install_version("paramsim", "0.1.0")



Attach the package and use:
library("paramsim")
Maintained by
Daniel James
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-23
Latest Update: 2023-01-23
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.
How to cite:
Daniel James (2023). paramsim: Parameterized Simulation. R package version 0.1.0, https://cran.r-project.org/web/packages/paramsim. Accessed 30 Jan. 2025.
Previous versions and publish date:
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Complete documentation for paramsim
Functions, R codes and Examples using the paramsim R package
Some associated functions: This . 
Some associated R codes: arimasim.R . arimasims.R .  Full paramsim package functions and examples
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