notbugAs an Amazon Associate I earn from qualifying purchases.
Want a good read? Try FreeBSD Mastery: Jails (IT Mastery Book 15)
Want a good monitor light? See my photosAll times are UTC
Ukraine
This referral link gives you 10% off a Fastmail.com account and gives me a discount on my Fastmail account.

Get notified when packages are built

A new feature has been added. FreshPorts already tracks package built by the FreeBSD project. This information is displayed on each port page. You can now get an email when FreshPorts notices a new package is available for something on one of your watch lists. However, you must opt into that. Click on Report Subscriptions on the right, and New Package Notification box, and click on Update.

Finally, under Watch Lists, click on ABI Package Subscriptions to select your ABI (e.g. FreeBSD:14:amd64) & package set (latest/quarterly) combination for a given watch list. This is what FreshPorts will look for.

non port: math/R-cran-LearnBayes/pkg-descr

Number of commits found: 3

Wednesday, 7 Sep 2022
21:58 Stefan Eßer (se) search for other commits by this committer
Remove WWW entries moved into port Makefiles

Commit b7f05445c00f has added WWW entries to port Makefiles based on
WWW: lines in pkg-descr files.

This commit removes the WWW: lines of moved-over URLs from these
pkg-descr files.

Approved by:		portmgr (tcberner)
commit hash: fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4 commit hash: fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4 commit hash: fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4 commit hash: fb16dfecae4a6efac9f3a78e0b759fb7a3c53de4 fb16dfe
Wednesday, 28 Mar 2018
02:23 tota search for other commits by this committer
- Update to 2.15.1
- Fix LICENSE section
- Update WWW: line in pkg-descr
Original commitRevision:465773 
Friday, 23 Nov 2012
02:32 tota search for other commits by this committer
- Add a new port: math/R-cran-LearnBayes

  LearnBayes contains a collection of functions helpful in learning
  the basic tenets of Bayesian statistical inference. It contains
  functions for summarizing basic one and two parameter posterior
  distributions and predictive distributions. It contains MCMC
  algorithms for summarizing posterior distributions defined by the
  user. It also contains functions for regression models, hierarchical
  models, Bayesian tests, and illustrations of Gibbs sampling.

  WWW: http://cran.r-project.org/web/packages/LearnBayes/

Feature safe:	yes
Original commitRevision:307669 

Number of commits found: 3