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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | paramsim_0.1.0.tar.gz |
33.4 KiB |
0.1.0 |
rolling linux/noble R-4.5 | paramsim_0.1.0.tar.gz |
33.4 KiB |
0.1.0 |
rolling source/ R- | paramsim_0.1.0.tar.gz |
14.6 KiB |
0.1.0 |
latest linux/jammy R-4.5 | paramsim_0.1.0.tar.gz |
33.4 KiB |
0.1.0 |
latest linux/noble R-4.5 | paramsim_0.1.0.tar.gz |
33.4 KiB |
0.1.0 |
latest source/ R- | paramsim_0.1.0.tar.gz |
14.6 KiB |
0.1.0 |
2026-04-26 source/ R- | paramsim_0.1.0.tar.gz |
14.6 KiB |
0.1.0 |
2026-04-23 source/ R- | paramsim_0.1.0.tar.gz |
14.6 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | paramsim_0.1.0.zip |
38.2 KiB |
0.1.0 |
2025-04-20 source/ R- | paramsim_0.1.0.tar.gz |
14.6 KiB |