rjd3toolkit - v3.5.1

{rjd3toolkit} 3.5.1

Installation

Source version

From GitHub

To install this release automatically, you can use the code from the README: ```r

install.packages("remotes")

remotes::install_github("rjdverse/rjd3toolkit@v3.5.1") ```

From R-Universe

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

Updates

Changed

• New JARS

- R
Published by TanguyBarthelemy about 1 year ago

rjd3toolkit - v3.5.0

{rjd3toolkit} 3.5.0

Installation

Source version

From GitHub

To install this release automatically, you can use the code from the README: ```r

install.packages("remotes")

remotes::install_github("rjdverse/rjd3toolkit@v3.5.0") ```

From R-Universe

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

Changed

• New JARS
• Replace . with _ in function's name #88
• The dataset retail is renamed Retail #89
• The number of regressor was false for TD3c #92

Added

• Spline functions (periodic, b-splines, cardinal splines)
• function .add_ud_var (from {rjd3tramoseats} and {rjd3x13})
• warning added in the function calendar_td #10
• Regressor TD2c for regarima specifications #53

- R
Published by annasmyk about 1 year ago

rjd3toolkit - v3.3.0

{rjd3toolkit} 3.3.0

Installation

Source version

From GitHub

To install this release automatically, you can use the code from the README: ```r

install.packages("remotes")

remotes::install_github("rjdverse/rjd3toolkit@v3.3.0") ```

From R-Universe

r 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:

r 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 rjd3toolkit3.3.0R_X.X.X.zip with X.X.X your version of R):

```r

For example with R 4.2.3

temppath <- file.path(tempdir(), "rjd3toolkit3.3.0.zip") download.file( url = "https://github.com/rjdverse/rjd3toolkit/releases/download/v3.3.0/rjd3toolkit3.3.0R4.2.3.zip", destfile = temppath ) 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

- R
Published by palatej over 1 year ago

rjd3toolkit - 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: ```r

install.packages("remotes")

remotes::install_github("rjdverse/rjd3toolkit@v3.2.4") ```

From R-Universe

r 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:

r 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 rjd3toolkit3.2.4R_X.X.X.zip with X.X.X your version of R):

```r

For example with R 4.2.3

temppath <- file.path(tempdir(), "rjd3toolkit3.2.4.zip") download.file( url = "https://github.com/rjdverse/rjd3toolkit/releases/download/v3.2.4/rjd3toolkit3.2.4R4.2.3.zip", destfile = temppath ) 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

- R
Published by TanguyBarthelemy almost 2 years ago

rjd3toolkit - v3.2.2

- R
Published by palatej over 2 years ago

rjd3toolkit - v3.2.1

- R
Published by palatej over 2 years ago

rjd3toolkit - v3.2.0

- R
Published by palatej over 2 years ago

rjd3toolkit - v3.1.0

- R
Published by palatej over 2 years ago

rjd3toolkit - Initial release

Release based on JD+_main : v3.0.2

- R
Published by palatej about 3 years ago