<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>joshuamarie.r-universe.dev</title><link>https://joshuamarie.r-universe.dev</link><description>Recent package updates in joshuamarie</description><generator>R-universe</generator><image><url>https://github.com/joshuamarie.png</url><title>R packages by joshuamarie</title><link>https://joshuamarie.r-universe.dev</link></image><lastBuildDate>Fri, 03 Jul 2026 12:08:06 GMT</lastBuildDate><item><title>[joshuamarie] kindling 0.3.1.9000</title><author>joshua.marie.k@gmail.com (Joshua Marie)</author><description>Provides a higher-level interface to the 'torch' package
for defining, training, and fine-tuning neural networks through
code generation. The package supports several architectures,
including feedforward (multi-layer perceptron) and recurrent
neural networks (RNN, LSTM, GRU), while reducing boilerplate
'torch' code. Model training methods also bridge to machine
learning frameworks in R, particularly the 'tidymodels'
ecosystem, including 'parsnip' model specifications, workflows,
recipes, and tuning tools.</description><link>https://github.com/r-universe/joshuamarie/actions/runs/28668841837</link><pubDate>Fri, 03 Jul 2026 12:08:06 GMT</pubDate><r:package>kindling</r:package><r:version>0.3.1.9000</r:version><r:status>success</r:status><r:repository>https://joshuamarie.r-universe.dev</r:repository><r:upstream>https://github.com/joshuamarie/kindling</r:upstream><r:article><r:source>custom-act-fn.Rmd</r:source><r:filename>custom-act-fn.html</r:filename><r:title>Custom Activation Function</r:title><r:created>2026-03-01 12:29:02</r:created><r:modified>2026-03-03 02:41:22</r:modified></r:article><r:article><r:source>kindling.Rmd</r:source><r:filename>kindling.html</r:filename><r:title>Getting Started with kindling</r:title><r:created>2026-01-16 13:35:22</r:created><r:modified>2026-01-26 08:09:38</r:modified></r:article><r:article><r:source>similar-packages.Rmd</r:source><r:filename>similar-packages.html</r:filename><r:title>Similar packages and comparison</r:title><r:created>2026-01-25 05:18:52</r:created><r:modified>2026-01-25 05:18:52</r:modified></r:article><r:article><r:source>special-cases.Rmd</r:source><r:filename>special-cases.html</r:filename><r:title>Special Cases: Linear and Logistic Regression</r:title><r:created>2026-02-24 05:37:43</r:created><r:modified>2026-03-02 11:43:47</r:modified></r:article><r:article><r:source>tuning-capabilities.Rmd</r:source><r:filename>tuning-capabilities.html</r:filename><r:title>Tuning Capabilities</r:title><r:created>2026-02-12 08:48:50</r:created><r:modified>2026-03-02 11:43:47</r:modified></r:article></item><item><title>[s7-stats] tabstats 0.2.0.9000</title><author>joshua.marie.k@gmail.com (Joshua Marie)</author><description>A lightweight toolkit that provides functions for printing
tables from input data in the R console or terminal with
customizable formatting. Supported outputs include American
Psychological Association (APA)-style tables (American
Psychological Association, 2020, ISBN:9781433832178),
correlation matrices, contingency tables, and two-column
summary tables.</description><link>https://github.com/r-universe/s7-stats/actions/runs/27088988692</link><pubDate>Sun, 07 Jun 2026 05:04:09 GMT</pubDate><r:package>tabstats</r:package><r:version>0.2.0.9000</r:version><r:status>success</r:status><r:repository>https://s7-stats.r-universe.dev</r:repository><r:upstream>https://github.com/s7-stats/tabstats</r:upstream><r:article><r:source>tabstats.Rmd</r:source><r:filename>tabstats.html</r:filename><r:title>Getting Started</r:title><r:created>2026-03-11 08:22:32</r:created><r:modified>2026-03-12 05:20:19</r:modified></r:article></item></channel></rss>