<?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>tqian.r-universe.dev</title><link>https://tqian.r-universe.dev</link><description>Recent package updates in tqian</description><generator>R-universe</generator><image><url>https://github.com/tqian.png</url><title>R packages by tqian</title><link>https://tqian.r-universe.dev</link></image><lastBuildDate>Sat, 24 Jan 2026 22:00:02 GMT</lastBuildDate><item><title>[tqian] MRTAnalysis 0.4.1</title><author>t.qian@uci.edu (Tianchen Qian)</author><description>Provides methods to analyze micro-randomized trials (MRTs)
with binary treatment options.  Supports four types of
analyses: (1) proximal causal excursion effects, including
weighted and centered least squares (WCLS) for continuous
proximal outcomes by Boruvka et al. (2018)
&lt;doi:10.1080/01621459.2017.1305274&gt; and the estimator for
marginal excursion effect (EMEE) for binary proximal outcomes
by Qian et al. (2021) &lt;doi:10.1093/biomet/asaa070&gt;; (2) distal
causal excursion effects (DCEE) for continuous distal outcomes
using a two-stage estimator by Qian (2025)
&lt;doi:10.1093/biomtc/ujaf134&gt;; (3) mediated causal excursion
effects (MCEE) for continuous distal outcomes, estimating
natural direct and indirect excursion effects in the presence
of time-varying mediators by Qian (2025)
&lt;doi:10.48550/arXiv.2506.20027&gt;; and (4) standardized proximal
effect size estimation for continuous proximal outcomes,
generalizing the approach in Luers et al. (2019)
&lt;doi:10.1007/s11121-017-0862-5&gt; to allow adjustment for
baseline and time-varying covariates for improved efficiency.</description><link>https://github.com/r-universe/tqian/actions/runs/37284317709</link><pubDate>Sat, 24 Jan 2026 22:00:02 GMT</pubDate><r:package>MRTAnalysis</r:package><r:version>0.4.1</r:version><r:status>success</r:status><r:repository>https://tqian.r-universe.dev</r:repository><r:upstream>https://github.com/cran/MRTAnalysis</r:upstream><r:article><r:source>mrt-distal-causal-effect.Rmd</r:source><r:filename>mrt-distal-causal-effect.html</r:filename><r:title>Exploratory Analysis for Micro-Randomized Trial (MRT): Continuous Distal Outcomes</r:title><r:created>2025-08-29 08:41:17</r:created><r:modified>2025-08-29 08:41:17</r:modified></r:article><r:article><r:source>mrt-proximal-causal-effect.Rmd</r:source><r:filename>mrt-proximal-causal-effect.html</r:filename><r:title>Primary and Secondary Analysis for Micro-Randomized Trial (MRT): Proximal Outcomes</r:title><r:created>2025-08-29 08:41:17</r:created><r:modified>2025-08-29 08:41:17</r:modified></r:article><r:article><r:source>mrt-standardized-effect-size.Rmd</r:source><r:filename>mrt-standardized-effect-size.html</r:filename><r:title>Standardized Proximal Effect Size in MRTAnalysis</r:title><r:created>2026-01-24 13:10:21</r:created><r:modified>2026-01-24 22:00:02</r:modified></r:article><r:article><r:source>mrt-mediated-causal-effect-on-distal-outcome.Rmd</r:source><r:filename>mrt-mediated-causal-effect-on-distal-outcome.html</r:filename><r:title>Time-Varying Causal Excursion Effect Mediation in MRT: Continuous Distal Outcomes</r:title><r:created>2025-09-09 07:20:31</r:created><r:modified>2025-09-09 07:20:31</r:modified></r:article></item><item><title>[tqian] MRTSampleSizeBinary 0.1.2</title><author>t.qian@uci.edu (Tianchen Qian)</author><description>Provides a sample size calculator for micro-randomized
trials (MRTs) with binary outcomes based on Cohn et al. (2023)
&lt;doi:10.1002/sim.9748&gt;. Also provides a power calculator when
the sample size is input by the user.</description><link>https://github.com/r-universe/tqian/actions/runs/37285262413</link><pubDate>Tue, 05 Dec 2023 03:31:12 GMT</pubDate><r:package>MRTSampleSizeBinary</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://tqian.r-universe.dev</r:repository><r:upstream>https://github.com/tqian/mrtsamplesizebinary</r:upstream><r:article><r:source>sample-size-calcualtor-for-mrt.Rmd</r:source><r:filename>sample-size-calcualtor-for-mrt.html</r:filename><r:title>Sample Size Calculator for Micro-Randomized Trials with Binary Outcomes</r:title><r:created>2020-11-28 04:51:08</r:created><r:modified>2023-12-02 04:21:50</r:modified></r:article></item></channel></rss>