We’re thrilled to announce that teal v0.15.0 has been released on CRAN!

This marks a significant milestone in our journey, and we’re incredibly excited about the possibilities teal brings to the R community, particularly within clinical trial settings.

One of the most notable changes in this release is the introduction of teal_data class. This addition enhances how data is handled within the teal framework, paving the way for custom data modules tailored to the needs of our R users, both inside and outside the clinical trial space. With teal_data, users can expect improved efficiency and flexibility in managing their data, opening doors to innovative approaches in data analysis and visualization.

While we’re enthusiastic about the advancements teal v0.15.0 brings, we have to introduce breaking changes to this version.

But worry not, we’ve got you covered!

To ease the transition, we’ve provided comprehensive guidance on migrating your applications from version 0.14.0 to 0.15.0. Check out our migration guide here, and feel free to ask any questions you may have in the discussion thread.

As we roll out teal v0.15.0, we’re also working diligently on releasing teal modules packages to CRAN to fully support this version. While we’re still in the process, we encourage you to dive into the latest teal release and start exploring its capabilities. To get started, make sure to install the development versions of teal.transform, teal.reporter, and any other modules you’re using.

To simplify the process, you can execute the following code to verify that you have the correct teal and teal modules versions:

# installing latest stable release from CRAN
install.packages(c("teal.logger", "teal.code", "teal.widgets", "teal.data", "teal.slice", "teal"))

# installing dev version from pharmaverse
install.packages(c("teal.reporter", "teal.transform", "teal.modules.general", "teal.modules.clinical"), repos = c("https://pharmaverse.r-universe.dev", getOption("repos")))

Rest assured, we’re committed to completing the release of the teal modules as swiftly as possible to provide users with an uninterrupted experience.

As always, thank you for your continued support and enthusiasm for teal. We can’t wait to see the incredible ways in which teal empowers you to revolutionize your data exploration in R.

For further details about the release, please refer to this link.

Feel free to explore the teal website here to learn more about the latest features.

@online{unardi2024,
  author = {Unardi, Dony},
  title = {Teal Is Now Available on {CRAN} 🎉},
  date = {2024-02-14},
  url = {https://pharmaverse.github.io/blog/posts/2024-02-13_teal_on_cran/teal_on_cran.html},
  langid = {en}
}