<?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>fpcordeiro.r-universe.dev</title><link>https://fpcordeiro.r-universe.dev</link><description>Recent package updates in fpcordeiro</description><generator>R-universe</generator><image><url>https://github.com/fpcordeiro.png</url><title>R packages by fpcordeiro</title><link>https://fpcordeiro.r-universe.dev</link></image><lastBuildDate>Thu, 28 May 2026 01:00:00 GMT</lastBuildDate><item><title>[fpcordeiro] tidyaudit 0.2.1</title><author>fernandolpcordeiro@gmail.com (Fernando Cordeiro)</author><description>Provides pipeline audit trails and data diagnostics for
'tidyverse' workflows. The audit trail system captures
lightweight metadata snapshots at each step of a pipeline,
building a structured record without storing the data itself.
Operation-aware taps enrich snapshots with join match rates and
filter drop statistics. Trails can be serialized to 'JSON' or
'RDS' and exported as self-contained 'HTML' visualizations.
Also includes diagnostic functions for interactive data
analysis including frequency tables, string quality auditing,
and data comparison.</description><link>https://github.com/r-universe/fpcordeiro/actions/runs/26551467907</link><pubDate>Thu, 28 May 2026 01:00:00 GMT</pubDate><r:package>tidyaudit</r:package><r:version>0.2.1</r:version><r:status>success</r:status><r:repository>https://fpcordeiro.r-universe.dev</r:repository><r:upstream>https://github.com/fpcordeiro/tidyaudit</r:upstream><r:article><r:source>tidyaudit.Rmd</r:source><r:filename>tidyaudit.html</r:filename><r:title>Audit Trail Walkthrough</r:title><r:created>2026-02-14 19:38:17</r:created><r:modified>2026-03-24 11:18:57</r:modified></r:article><r:article><r:source>diagnostics.Rmd</r:source><r:filename>diagnostics.html</r:filename><r:title>Diagnostic Functions Guide</r:title><r:created>2026-02-14 19:38:17</r:created><r:modified>2026-03-24 11:18:57</r:modified></r:article></item><item><title>[fpcordeiro] choicer 0.1.0.9000</title><author>fernandolpcordeiro@gmail.com (Fernando Cordeiro)</author><description>Fast estimation of discrete-choice models for applied
economics. Likelihoods, analytical gradients and Hessians are
implemented in C++ with 'OpenMP' parallelism, scaling
efficiently to specifications with many alternative-specific
constants. Post-estimation routines return predicted shares,
own- and cross-price elasticities, and diversion ratios.
Supports multinomial logit ('MNL'), mixed logit ('MXL'), and
nested logit ('NL').</description><link>https://github.com/r-universe/fpcordeiro/actions/runs/26230886116</link><pubDate>Thu, 21 May 2026 12:11:40 GMT</pubDate><r:package>choicer</r:package><r:version>0.1.0.9000</r:version><r:status>success</r:status><r:repository>https://fpcordeiro.r-universe.dev</r:repository><r:upstream>https://github.com/fpcordeiro/choicer</r:upstream></item><item><title>[cran] choicer 0.1.0</title><author>fernandolpcordeiro@gmail.com (Fernando Cordeiro)</author><description>Fast estimation of discrete-choice models for applied
economics. Likelihoods, analytical gradients and Hessians are
implemented in C++ with 'OpenMP' parallelism, scaling
efficiently to specifications with many alternative-specific
constants. Post-estimation routines return predicted shares,
own- and cross-price elasticities, and diversion ratios.
Supports multinomial logit ('MNL'), mixed logit ('MXL'), and
nested logit ('NL').</description><link>https://github.com/r-universe/cran/actions/runs/26166529430</link><pubDate>Wed, 20 May 2026 09:10:07 GMT</pubDate><r:package>choicer</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://cran.r-universe.dev</r:repository><r:upstream>https://github.com/cran/choicer</r:upstream></item><item><title>[fpcordeiro] dtaudit 0.1.1</title><author>fernandolpcordeiro@gmail.com (Fernando Cordeiro)</author><description>Diagnostic tools for auditing data analysis workflows
built on 'data.table'. Provides functions to validate join
operations, compare data.tables, filter with diagnostic output,
summarize data quality, check primary keys and variable
relationships, and diagnose string columns. Designed to help
analysts understand and document data transformations.</description><link>https://github.com/r-universe/fpcordeiro/actions/runs/26153445361</link><pubDate>Tue, 17 Feb 2026 12:46:08 GMT</pubDate><r:package>dtaudit</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://fpcordeiro.r-universe.dev</r:repository><r:upstream>https://github.com/fpcordeiro/dtaudit</r:upstream><r:article><r:source>dtaudit.Rmd</r:source><r:filename>dtaudit.html</r:filename><r:title>Introduction to dtaudit</r:title><r:created>2026-02-07 13:00:49</r:created><r:modified>2026-02-07 18:14:43</r:modified></r:article></item></channel></rss>