<?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>ikrakib.r-universe.dev</title><link>https://ikrakib.r-universe.dev</link><description>Recent package updates in ikrakib</description><generator>R-universe</generator><image><url>https://github.com/ikrakib.png</url><title>R packages by ikrakib</title><link>https://ikrakib.r-universe.dev</link></image><lastBuildDate>Wed, 14 Jan 2026 10:25:11 GMT</lastBuildDate><item><title>[ikrakib] bayesDiagnostics 0.1.0</title><author>ikrakib1010@gmail.com (Ibrahim Kholil Rakib)</author><description>Provides comprehensive tools for Bayesian model
diagnostics and comparison. Includes prior sensitivity
analysis, posterior predictive checks (Gelman et al. (2013)
&lt;doi:10.1201/b16018&gt;), advanced model comparison using
Pareto-smoothed importance sampling leave-one-out
cross-validation (Vehtari et al. (2017)
&lt;doi:10.1007/s11222-016-9696-4&gt;), convergence diagnostics, and
prior elicitation tools. Integrates with 'brms' (Burkner (2017)
&lt;doi:10.18637/jss.v080.i01&gt;), 'rstan', and 'rstanarm' packages
for comprehensive Bayesian workflow diagnostics.</description><link>https://github.com/r-universe/ikrakib/actions/runs/25910219460</link><pubDate>Wed, 14 Jan 2026 10:25:11 GMT</pubDate><r:package>bayesDiagnostics</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://ikrakib.r-universe.dev</r:repository><r:upstream>https://github.com/ikrakib/bayesdiagnostics</r:upstream><r:article><r:source>introduction-to-bayesDiagnostics.Rmd</r:source><r:filename>introduction-to-bayesDiagnostics.html</r:filename><r:title>Introduction to bayesDiagnostics</r:title><r:created>2025-12-07 09:55:59</r:created><r:modified>2026-01-03 20:34:29</r:modified></r:article></item><item><title>[ikrakib] modernBoot 0.1.1</title><author>ikrakib1010@gmail.com (Ibrahim Kholil Rakib)</author><description>Implements modern resampling and permutation methods for
robust statistical inference without restrictive parametric
assumptions. Provides bias-corrected and accelerated (BCa)
bootstrap (Efron and Tibshirani (1993)
&lt;doi:10.1201/9780429246593&gt;), wild bootstrap for
heteroscedastic regression (Liu (1988)
&lt;doi:10.1214/aos/1176351062&gt;, Davidson and Flachaire (2008)
&lt;doi:10.1016/j.jeconom.2008.08.003&gt;), block bootstrap for time
series (Politis and Romano (1994)
&lt;doi:10.1080/01621459.1994.10476870&gt;), and permutation-based
multiple testing correction (Westfall and Young (1993)
&lt;ISBN:0-471-55761-7&gt;). Methods handle non-normal data,
heteroscedasticity, time series correlation, and multiple
comparisons.</description><link>https://github.com/r-universe/ikrakib/actions/runs/26084917673</link><pubDate>Sat, 20 Dec 2025 08:44:03 GMT</pubDate><r:package>modernBoot</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://ikrakib.r-universe.dev</r:repository><r:upstream>https://github.com/ikrakib/modernboot</r:upstream></item></channel></rss>