[R] [R-pkgs] simtrial: Clinical Trial Simulation
Dear all,
I am happy to announce that {simtrial} is now on CRAN
(https://cran.r-project.org/package=simtrial). simtrial is a fast and
extensible clinical trial simulation framework for time-to-event endpoints.
This release brings a new tabular data processing engine powered by data.table
for 3x to 5x faster simulations, a new parallelization adaptor with %dofuture%,
a refreshed API that aligns with the gsDesign2 style guide, and new functions
for zero early weight and analysis date. For a summary of the updates, please
see the announcement: https://keaven.github.io/blog/simtrial-0-3-2/.
I hope you find simtrial helpful. Please feel free to reach out with feedback
or questions.
Best regards,
-Nan
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[R] [R-pkgs] gsDesign 3.6.0 is released
Dear all, I'm excited to announce that a new version of gsDesign (3.6.0) is now on CRAN (https://cran.r-project.org/package=gsDesign). gsDesign supports group sequential clinical trial design, largely as presented in Jennison and Turnbull (2000). The 3.6.0 update introduces some significant new features and enhancements: - New gsSurvCalendar() function to enable group sequential design for time-to-event outcomes using calendar timing of interim analysis specification. - toInteger() and print.gsSurv() improvements for integer sample size and event count. - toBinomialExact() and gsBinomialExact() now have improved error checking in bound computations, error messages, and documentation. - New as_rtf() method for gsBinomialExact() objects to support RTF table outputs. We have also updated the gsDesign Shiny app to 2023.11.0. This version supports the new key features added in gsDesign 3.5.0 and 3.6.0. For the complete list of updates, please see the announcement: https://keaven.github.io/blog/gsdesign-3-6-0/. Best regards, -Nan ___ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] [R-pkgs] gsDesign2 1.0.8 is released
Dear all, A new version of gsDesign2 (1.0.8) is now on CRAN (https://cran.r-project.org/package=gsDesign2). gsDesign2 enables fixed or group sequential design under non-proportional hazards and supports highly flexible enrollment, time-to-event, and time-to-dropout assumptions. The key improvements in this version include refined naming conventions for options in the info_scale argument adhering to the tidyverse design guide, and bug fixes for computing the futility bounds. Please see the changelog (https://merck.github.io/gsDesign2/news/) for details. As the gsDesign2 package is still in its early stages, we're eager to continue refining its features and performance. We invite you to try out this new version and share your insights with us. Your feedback is invaluable in helping us develop a tool that meets the evolving needs of users. Cheers, -Nan ___ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] [R-pkgs] gsDesign 3.4.0 is released
Dear all, A new version of gsDesign (3.4.0) is now on CRAN (https://cran.r-project.org/package=gsDesign). gsDesign supports group sequential clinical trial design, largely as presented in Jennison and Turnbull (2000). This version removes restrictions on conditional power calculations for interim test statistic and brings improvements on dependencies and lifecycle management. Please see the changelog (https://keaven.github.io/gsDesign/news/) for details. Thanks, -Nan ___ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] [R-pkgs] pkglite 0.2.1 is released
Dear all, A new version of pkglite (0.2.1) is now on CRAN (https://cran.r-project.org/package=pkglite). pkglite offers a tool, grammar, and standard to represent and exchange R package source code as text files. This version brings expanded coverage of file types (before: 88.85%, after: 96.65%, tested among all files in all CRAN packages), fewer dependencies, and more low-level enhancements. Please see the changelog (https://merck.github.io/pkglite/news/) for details. Thanks, -Nan ___ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] [R-pkgs] pkglite 0.2.0 is released
Dear all, A new version of pkglite (0.2.0) is now on CRAN (https://cran.r-project.org/package=pkglite). pkglite offers a tool, grammar, and standard to represent and exchange R package source code as text files. This version brings new file specification templates and new methods to operate on file collections, with a few bug fixes and enhancements. Please see the changelog (https://merck.github.io/pkglite/news/) for details. Thanks, -Nan ___ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] [R-pkgs] pkglite: Compact Package Representations
Dear all,
I am happy to announce that {pkglite} is now on CRAN. It aims to offer a tool,
grammar, and standard to represent and exchange R packages as text files. It
can convert one or more source packages to a text file and restore the package
structures from the file.
I hope you find it helpful. Please feel free to reach out with feedback or
questions.
CRAN: https://cran.r-project.org/package=pkglite
Documentation: https://merck.github.io/pkglite/
Thanks,
-Nan
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[R] [R-pkgs] OHPL - new package for group variable selection
Dear useRs, - I am pleased to announce that the R package OHPL is now available on CRAN (https://CRAN.R-project.org/package=OHPL). The package implements the ordered homogeneity pursuit lasso (OHPL) algorithm for group variable selection proposed in Lin et al. (2017) . The OHPL method exploits the homogeneity structure in high-dimensional data and enjoys the grouping effect to select groups of important variables automatically. This feature makes it particularly useful for high-dimensional datasets with strongly correlated variables, such as spectroscopic data. For more information, please see https://OHPL.io. Cheers, -Nan -- https://nanx.me ___ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
