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postpack
View on CRAN: Click
here
Download and install postpack package within the R console
Install from CRAN:
install.packages("postpack")
Install from Github:
library("remotes")
install_github("cran/postpack")
Install by package version:
library("remotes")
install_version("postpack", "0.5.4")
Attach the package and use:
library("postpack")
Maintained by
Ben Staton
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.postpack . https://github.com/bstaton1/postpack/issues . https://bstaton1.github.io/postpack/ . postpack results . postpack.pdf . postpack_0.5.4.tar.gz . postpack_0.5.4.zip . postpack_0.5.4.zip . postpack_0.5.4.zip . postpack_0.5.4.tgz . postpack_0.5.4.tgz . postpack_0.5.4.tgz . postpack_0.5.4.tgz . postpack_0.5.4.tgz . postpack_0.5.4.tgz . postpack archive . https://CRAN.R-project.org/package=postpack .
First Published: 2020-09-17
Latest Update: 2022-12-21
Description:
The aim of 'postpack' is to provide the infrastructure for a standardized workflow for 'mcmc.list' objects.
These objects can be used to store output from models fitted with Bayesian inference using
'JAGS', 'WinBUGS', 'OpenBUGS', 'NIMBLE', 'Stan', or even custom MCMC algorithms. Although the 'coda' R package provides
some methods for these objects, it is somewhat limited in easily performing post-processing tasks for
specific nodes. Models are ever increasing in their complexity and the number of tracked nodes, and oftentimes
a user may wish to summarize/diagnose sampling behavior for only a small subset of nodes at a time
for a particular question or figure. Thus, many 'postpack' functions support performing tasks on a
subset of nodes, where the subset is specified with regular expressions. The functions in 'postpack'
streamline the extraction, summarization, and diagnostics of specific monitored nodes after model fitting.
Further, because there is rarely only ever one model under consideration, 'postpack' scales efficiently
to perform the same tasks on output from multiple models simultaneously, facilitating rapid assessment
of model sensitivity to changes in assumptions.
How to cite:
Ben Staton (2020). postpack: Utilities for Processing Posterior Samples Stored in 'mcmc.lists'. R package version 0.5.4, https://cran.r-project.org/web/packages/postpack. Accessed 03 Apr. 2025.
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Other R packages that postpack depends,
imports, suggests or enhances
Complete documentation for postpack
Functions, R codes and Examples using
the postpack R package
Some associated functions: array_format . cjs . cjs_no_rho . density_plot . diag_plots . drop_index . get_params . id_mat . ins_regex_bracket . ins_regex_lock . list_out . match_params . mytitle . post_bind . post_convert . post_dim . post_remove . post_subset . post_summ . post_thin . postpack . rm_regex_bracket . rm_regex_lock . trace_plot . vcov_decomp . write_model .
Some associated R codes: array_format.R . data.R . density_plot.R . diag_plots.R . get_params.R . match_params.R . post_bind.R . post_convert.R . post_dim.R . post_remove.R . post_subset.R . post_summ.R . post_thin.R . postpack.R . trace_plot.R . utils.R . vcov_decomp.R . write_model.R . Full postpack package functions and examples
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