Leadership: Dootika Vats, James Flegal, Galin Jones
Contributors: Gunjan Jalori, Siddharth Pathak
Updates will be described in this README. For communication regarding issues in the code and other suggestions, please employ the issues feature on GitHub.
Run: runme.R
Install from this branch using:
devtools::install_github("dvats/SimTools", ref = "Siddharth-Pathak")
Next update goal:
August 25, 2023
The following were accomplished
- multiple chain compatibility
- summary function for output
- compatibility for discrete state space
- make efficient trace plots
- New functions to use are:
densityplot(),acfplot(),traceplot(),plot(),summary().
October 3, 2021
Added function ACF that plots ACF plots for Markov chains for each
component. The function plots globally-centered ACFs, and can thus be
used for multiple chain setups
Other clean-up to the code has also been done.
February 24, 2021
Added functions getCI, addCI, and boxCI to get and add simultaneous CIs to existing plots.
Additionally, now the Smcmc class supports multiple chains. The
input is a list of chains, and calling Smcmc does some processing
to make a stacked version of the chains.
December 7, 2020
Siid class created. This corresponds to "IID simulation objects". The boxplot and plot commands work directly on this and produces boxplots and density plots.
December 4, 2020
Smcmc class created. This corresponds to "MCMC simulation objects". The plot command works directly on this and produces density plots with the desired quantiles and means indicated.
Grateful for support by SERB, DST, India (MSC/2020/000165).