Last updated: 2024-09-16
Checks: 2 0
Knit directory: rss/
This reproducible R Markdown analysis was created with workflowr (version 1.7.1). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.
Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.
The results in this page were generated with repository version 941a146. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.
Note that you need to be careful to ensure that all relevant files for
the analysis have been committed to Git prior to generating the results
(you can use wflow_publish
or
wflow_git_commit
). workflowr only checks the R Markdown
file, but you know if there are other scripts or data files that it
depends on. Below is the status of the Git repository when the results
were generated:
Ignored files:
Ignored: .Rhistory
Ignored: .Rproj.user/
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
These are the previous versions of the repository in which changes were
made to the R Markdown (rmd/setup_vb.Rmd
) and HTML
(docs/setup_vb.html
) files. If you’ve configured a remote
Git repository (see ?wflow_git_remote
), click on the
hyperlinks in the table below to view the files as they were in that
past version.
File | Version | Author | Date | Message |
---|---|---|---|---|
html | bab3f58 | Xiang Zhu | 2020-06-24 | Build site. |
html | 030c513 | Xiang Zhu | 2020-06-23 | Build site. |
Rmd | 65d029a | Xiang Zhu | 2020-06-23 | wflow_publish("rmd/setup_vb.Rmd") |
html | f8057e6 | Xiang Zhu | 2020-06-23 | Build site. |
Rmd | 44126fa | Xiang Zhu | 2020-06-23 | wflow_publish("rmd/setup_vb.Rmd") |
This page shows how to install the Variational
Bayes (VB) scripts in rss/src_vb/
.
In a standard computing environment with internet connection, the
installation time is typically less than 10 minutes.
git
(optional)To simplify Step 1 below, you may consider installing git
in your
computing environment (if it is not available there). Please see this excellent
tutorial on installing git
.
Please note that RSS software does not depend on git
. You can
complete Step 1 without installing git
.
rss
repositoryWith git
installed, you can easily clone rss
by
running the following command in Terminal.
Go to rss/src_vb
and open MATLAB.
Run rss/src_vb/install.m
in MATLAB. You may get the following output.
>> run install.m
Building with 'gcc'.
MEX completed successfully.
Compilation of MEX files is complete.
After successfully running rss/src_vb/install.m
,
you will find a file rss_varbvsr_update_matlab.mexa64
(in
Linux) in the directory rss/src_vb
, which is the workhorse
for variational Bayes computations.
Please note that RSS VB codes have only been extensively tested in the following environments.
version 9.3.0.713579 (R2017b) of MATLAB for 64-bit Linux
version 8.4.0.150421 (R2014b) of MATLAB for 64-bit Linux
version 8.2.0.701 (R2013b) of MATLAB for 64-bit Linux
version 8.1.0.604 (R2013a) of MATLAB for 64-bit Linux
If you have any trouble installing RSS VB codes, please open an issue or email me
(xiangzhu[at]uchicago[and/or]stanford.edu
). To help me
better understand your problems, please provide details of your
computing environment.
The most tricky part of this installation is probably compiling MEX files in MATLAB (Step 2).
Before running rss/src_vb/install.m
,
please make sure that you have the compiler compatible with your version
of MATLAB, and that you can compile the MEX files in the tutorials given
on the MathWorks website.
In addition, please ensure that you compile and run the scripts in
the same version of MATLAB. For example, if you have compiled MEX files
using MATLAB Release R2017b, please use the compiled output
rss_varbvsr_update_matlab.mexa64
only in MATLAB R2017b.
For more information on MEX, please see: