THREE BIG THINGS THIS WEEK
We will freeze development in main on January 19, 2026 for two weeks because of the training at the National Stock Assessment Workshop. All this means is that there will be no releases for that two-week period.
There are several outstanding pull requests that need reviewed. Thank you for all of the contributions. The bug fixes will be merged into a hot fix and the remaining pull requests will make it into version 0.8.0 this week.
Length-based selectivity work is ramping back up as we wind down work on projections.
FIMS ANNOUNCEMENTS
- The first in-person FIMS training is in 14 days! We have over 40 people signed up.
UPCOMING EVENTS
PHOTO OF THE WEEK
When you are installing packages in R there are several ways to go about doing this but we recommend using {pak} because it is one of the few methods that automatically installs packages in parallel, which can considerably speed up the process. You can set up install.packages() to use parallel methods but it will not be able to optimize things based on the mutual dependencies found across a set of packages that you wish to install, like {pak} can.
# To install a vector of packages
pak::pkg_install(c("dplyr", "ggplot2", "data.table"))
# The following is a wrapper around pak::pkg_install()
pak::pak()