Matt Moores
@mattmoores.fediscience.org.ap.brid.gy
he/him; researcher in computational Bayesian statistics. Author and maintainer of R packages bayesImageS & serrsBayes #rstats #Statsodon
🌉 bridged from https://fediscience.org/@MattMoores on the fediverse by https://fed.brid.gy/
🌉 bridged from https://fediscience.org/@MattMoores on the fediverse by https://fed.brid.gy/
Success at last…
November 12, 2025 at 3:17 AM
Success at last…
To be fair, I can't say I wasn't warned:
Note: This exercise is based on pre-release SDK software, which may be subject to change. Where necessary, we’ve used specific versions of packages; which may not reflect the latest available versions. You may experience some unexpected behavior […]
Note: This exercise is based on pre-release SDK software, which may be subject to change. Where necessary, we’ve used specific versions of packages; which may not reflect the latest available versions. You may experience some unexpected behavior […]
Original post on fediscience.org
fediscience.org
November 10, 2025 at 9:22 AM
To be fair, I can't say I wasn't warned:
Note: This exercise is based on pre-release SDK software, which may be subject to change. Where necessary, we’ve used specific versions of packages; which may not reflect the latest available versions. You may experience some unexpected behavior […]
Note: This exercise is based on pre-release SDK software, which may be subject to change. Where necessary, we’ve used specific versions of packages; which may not reflect the latest available versions. You may experience some unexpected behavior […]
also thanks to @gaborcsardi @maelle for rhub v2, which makes it easy to configure GitHub Actions for crossplatform builds on Linux, macOS and Windows
https://CRAN.R-project.org/package=rhub
#rstats #statsodon #github #jira
https://CRAN.R-project.org/package=rhub
#rstats #statsodon #github #jira
October 11, 2025 at 1:58 AM
also thanks to @gaborcsardi @maelle for rhub v2, which makes it easy to configure GitHub Actions for crossplatform builds on Linux, macOS and Windows
https://CRAN.R-project.org/package=rhub
#rstats #statsodon #github #jira
https://CRAN.R-project.org/package=rhub
#rstats #statsodon #github #jira
I mostly followed the 2nd edition of "R Packages" by @hadleywickham @jennybryan with a few minor tweaks to account for the differences between GitHub and Bitbucket/Jira
https://r-pkgs.org/release.html
I highly recommend this book for anyone who is writing or maintaining R code! #rstats #statsodon
https://r-pkgs.org/release.html
I highly recommend this book for anyone who is writing or maintaining R code! #rstats #statsodon
October 11, 2025 at 1:12 AM
I mostly followed the 2nd edition of "R Packages" by @hadleywickham @jennybryan with a few minor tweaks to account for the differences between GitHub and Bitbucket/Jira
https://r-pkgs.org/release.html
I highly recommend this book for anyone who is writing or maintaining R code! #rstats #statsodon
https://r-pkgs.org/release.html
I highly recommend this book for anyone who is writing or maintaining R code! #rstats #statsodon
7529 is the minimum ESS for a 2 parameter model recommended by the R package mcmcse, for stable estimation with a relative tolerance of .05
The first 1000 iterations were discarded as burn-in.
The first 1000 iterations were discarded as burn-in.
October 3, 2025 at 10:38 PM
7529 is the minimum ESS for a 2 parameter model recommended by the R package mcmcse, for stable estimation with a relative tolerance of .05
The first 1000 iterations were discarded as burn-in.
The first 1000 iterations were discarded as burn-in.
the first 201 iterations were discarded as burn-in
September 12, 2025 at 10:23 PM
the first 201 iterations were discarded as burn-in
