FSA v0.8.7 Released
[This article was first published on fishR Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
A new minor version (0.8.7) of the FSA (Fisheries Stock Assessment) package was recently released and is now on CRAN. A full description of changes is here. Three major changes are described below.
- Removed the
dynamicPlot=TRUE
option fromvbStarts()
andsrStarts()
. This functionality has been moved tovbStartsDP()
andsrStartsDP()
, respectively, in theFSAsim
package available only on GitHub. This functionality was removed because of the reliance on therelax
package andtcltk
which was getting difficult (for me) to maintain relative to CRAN. - The
ageKey()
andageKeyPlot()
functions have been permanently removed. These have been deprecated since v0.4.24. UsealkIndivAge()
andalkPlot()
instead for the same functionality. - A new function
growthFunShow()
is introducted to createplotmath()
expressions of common parameterizations of the von Bertalanffy, Gompertz, Richards, and logistic growth functions. The documentation for this function shows how it can be used to place these expressions on plots, including creating a plot that shows several parameterizations. With this,vbModels()
,GompertzModels()
,RichardsModels()
, andLogisticModels
were all removed. This change allows for more flexibilty as more parameterizations are added. - A new function
srFunShow()
is introduced that is similar togrowthFunShow()
but for expressions of stock-recruitment models. With this,srModels()
was removed.
Bug reports and feature requests can be filed as an issue on the FSA GitHub page.
To leave a comment for the author, please follow the link and comment on their blog: fishR Blog.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.