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regression tree model that partitions subjects into terminal
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(CART) model that partitions subjects into terminal nodes and
tailors machine learning model to each terminal node.</description><link>https://github.com/r-universe/zea23i651096531/actions/runs/26328255913</link><pubDate>Thu, 22 Jan 2026 19:00:02 GMT</pubDate><r:package>tgml</r:package><r:version>0.4.0</r:version><r:status>success</r:status><r:repository>https://zea23i651096531.r-universe.dev</r:repository><r:upstream>https://github.com/cran/tgml</r:upstream></item><item><title>[zea23i651096531] varoc 1.0.0</title><author>yunro.chung@asu.edu (Yunro Chung)</author><description>A continuous version of the receiver operating
characteristics (ROC) curve to assess both classification and
continuity performances of biomarkers, diagnostic tests, or
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regression tree (CART) model that partitions subjects into
terminal nodes and tailors regression model to each terminal
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order-restrictions.</description><link>https://github.com/r-universe/zea23i651096531/actions/runs/25907902384</link><pubDate>Sat, 02 Sep 2023 08:30:31 GMT</pubDate><r:package>isoSurv</r:package><r:version>0.3.0</r:version><r:status>success</r:status><r:repository>https://zea23i651096531.r-universe.dev</r:repository><r:upstream>https://github.com/cran/isoSurv</r:upstream></item><item><title>[zea23i651096531] persDx 0.5.0</title><author>yunro.chung@asu.edu (Yunro Chung)</author><description>Tailoring the optimal biomarker(s) for disease screening
or diagnosis based on subjects' individual characteristics.</description><link>https://github.com/r-universe/zea23i651096531/actions/runs/26442328408</link><pubDate>Wed, 16 Aug 2023 07:30:49 GMT</pubDate><r:package>persDx</r:package><r:version>0.5.0</r:version><r:status>success</r:status><r:repository>https://zea23i651096531.r-universe.dev</r:repository><r:upstream>https://github.com/cran/persDx</r:upstream></item><item><title>[zea23i651096531] aisoph 0.4</title><author>yunro.chung@asu.edu (Yunro Chung)</author><description>Nonparametric estimation of additive isotonic covariate
effects for proportional hazards model.</description><link>https://github.com/r-universe/zea23i651096531/actions/runs/26502480490</link><pubDate>Sat, 04 Mar 2023 06:20:07 GMT</pubDate><r:package>aisoph</r:package><r:version>0.4</r:version><r:status>success</r:status><r:repository>https://zea23i651096531.r-universe.dev</r:repository><r:upstream>https://github.com/cran/aisoph</r:upstream></item><item><title>[zea23i651096531] surrosurvROC 0.1.0</title><author>yunro.chung@asu.edu (Yunro Chung)</author><description>Nonparametric and semiparametric estimations of the
time-dependent ROC curve for an incomplete failure time data
with surrogate failure time endpoints.</description><link>https://github.com/r-universe/zea23i651096531/actions/runs/27089071273</link><pubDate>Thu, 30 Aug 2018 15:20:03 GMT</pubDate><r:package>surrosurvROC</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://zea23i651096531.r-universe.dev</r:repository><r:upstream>https://github.com/cran/surrosurvROC</r:upstream></item></channel></rss>