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v3.3.0

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@palatej palatej released this 09 Jan 18:08
v3.3.0
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{rjd3toolkit} 3.3.0

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/rjd3toolkit@v3.3.0")

From R-Universe

install.packages("rjd3toolkit", repos = c("https://rjdverse.r-universe.dev", "https://cloud.r-project.org"))

From file

  • Download the file rjd3toolkit_3.3.0.tar.gz
  • Install with the command line:
install.packages("rjd3toolkit_3.3.0.tar.gz", repos = NULL, type = "source")

Binary versions

  • Download the binary version of the package related to your R version (so the file rjd3toolkit_3.3.0_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_3.3.0.zip")
download.file(
    url = "https://github.com/rjdverse/rjd3toolkit/releases/download/v3.3.0/rjd3toolkit_3.3.0_R_4.2.3.zip",
    destfile = temp_path
)
install.packages(temp_path, repos = NULL, type = "binary")

Changed

  • New JARS
  • Improve Canova-Hansen tests for seasonality and trading days (new options, more output)
  • Document (UC)ARIMA models
Assets 2
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