This is the initial working version of multinomialTS. See the vignette on how to use the model.
Installation
Windows
The best way to install at the moment is to compile from source:
- If you have Rtools44 or (Rtools45 for R 4.5) and devtools installed, you can build the latest version of the package directly from github using:
devtools::install_github("https://github.com/QuinnAsena/multinomialTS")
Alternatively, if you are having issues with the build tools, install the binaries:
install.packages("https://github.com/QuinnAsena/multinomialTS/releases/download/v1.0.1-alpha/multinomialTS_1.0.1-alpha.zip", repos = NULL, type = "win.binary")
macOS
The best way to install at the moment is to compile from source:
If you have xcode-select and devtools installed, you can build the latest version of the package directly from github using:
devtools::install_github("https://github.com/QuinnAsena/multinomialTS")On apple it is nice and easy to download xcode-select by opening a terminal and copying this code:
xcode-select --install. Then try and run:devtools::install_github("https://github.com/QuinnAsena/multinomialTS")
Alternatively, if you are having issues with the build tools, install the binaries:
For new M-series macs, use:
install.packages("https://github.com/QuinnAsena/multinomialTS/releases/download/v1.0.1-alpha/multinomialTS-arm64.tgz", repos = NULL)
For Intel macs, use:
install.packages("https://github.com/QuinnAsena/multinomialTS/releases/download/v1.0.1-alpha/multinomialTS_1.0.0.tgz", repos = NULL)