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