Releases: rjdverse/rjd3toolkit
Releases · rjdverse/rjd3toolkit
v3.3.0
v3.2.4
rjd3toolkit 3.2.4
Installation
Source version
From GitHub
To install this release automatically, you can use the code from the README:
# install.packages("remotes")
remotes::install_github("rjdverse/[email protected]")From R-Universe
install.packages("rjd3toolkit", repos = c("https://rjdverse.r-universe.dev", "https://cloud.r-project.org"))From file
- Download the file rjd3toolkit_3.2.4.tar.gz
- Install with the command line:
install.packages("rjd3toolkit_3.2.4.tar.gz", repos = NULL, type = "source")Binary versions
- Download the binary version of the package related to your R version (so the file rjd3toolkit_3.2.4_R_X.X.X.zip with X.X.X your version of R):
# For example with R 4.2.3
temp_path <- file.path(tempdir(), "rjd3toolkit_3.2.4.zip")
download.file(
url = "https://github.com/rjdverse/rjd3toolkit/releases/download/v3.2.4/rjd3toolkit_3.2.4_R_4.2.3.zip",
destfile = temp_path
)
install.packages(temp_path, repos = NULL, type = "binary")Updates
Fixed
- Correct SA decomposition with backcasts and forecasts (Java to R transfer) #2
Changed
- New .jar (related to release 3.2.4)
- Some linting of R functions
v3.2.2
v3.2.1
v3.2.0
v3.1.0
Initial release
Release based on JD+_main : v3.0.2