https://alitovchenko.r-universe.devRecent package updates in alitovchenkoR-universehttps://github.com/alitovchenko.pnghttps://alitovchenko.r-universe.devThu, 18 Jun 2026 03:18:54 GMTal4877@columbia.edu (Alex Litovchenko)A comprehensive, simulation-based toolkit for power and sample-size analysis for linear and generalized linear mixed-effects models (LMMs and GLMMs). Supports Gaussian, binomial, Poisson, and negative binomial families via 'lme4'; Wald and likelihood-ratio tests; multi-parameter sensitivity grids; power curves and minimum sample-size solvers; parallel evaluation with deterministic seeds; and full reproducibility (manifests, result bundling, and export to CSV/JSON). Delivers thorough diagnostics per run (failure rate, singular-fit rate, effective N) and publication-ready summary tables. References: Bates et al. (2015) "Fitting Linear Mixed-Effects Models Using lme4" <doi:10.18637/jss.v067.i01>; Green and MacLeod (2016) "SIMR: an R package for power analysis of generalized linear mixed models by simulation" <doi:10.1111/2041-210X.12504>.https://github.com/r-universe/alitovchenko/actions/runs/27753192184Thu, 18 Jun 2026 03:18:54 GMTmixpower1.1.1successhttps://alitovchenko.r-universe.devhttps://github.com/alitovchenko/mixpowermixpower-design.Rmdmixpower-design.htmlDesigning studies2026-02-02 16:33:172026-06-13 19:23:10mixpower-diagnostics.Rmdmixpower-diagnostics.htmlDiagnostics and sensitivity2026-02-02 16:33:172026-06-13 19:23:10mixpower-effect-sizes.Rmdmixpower-effect-sizes.htmlEffect sizes: maximal models, fitted pilots, and safeguard power2026-06-17 03:57:592026-06-18 03:18:54mixpower-extending.Rmdmixpower-extending.htmlExtending mixpower with custom backends2026-04-18 22:21:092026-06-18 03:18:54mixpower-intro.Rmdmixpower-intro.htmlmixpower intro2026-02-02 16:33:172026-06-18 03:18:54mixpower-reproducibility.Rmdmixpower-reproducibility.htmlReproducibility workflow2026-04-18 22:21:092026-06-18 03:18:54mixpower-simulations.Rmdmixpower-simulations.htmlRunning simulations2026-02-02 16:33:172026-06-13 19:23:10mixpower-validation.Rmdmixpower-validation.htmlValidation: is your power number trustworthy?2026-06-17 05:05:062026-06-18 03:18:54al4877@columbia.edu (Alex Litovchenko)A reproducible, tidyverse-style framework for intensive longitudinal data analysis in R, with built-in methodological safeguards, provenance tracking, and reporting tools. Encodes time structure, enforces within-between decomposition, provides spacing-aware lags, and integrates diagnostics and visualization. Use ild_prepare(), ild_center(), ild_lag(), and related functions for a unified pipeline from raw EMA/diary data to interpretable models.https://github.com/r-universe/alitovchenko/actions/runs/27494016861Fri, 12 Jun 2026 18:48:00 GMTtidyILD0.4.1successhttps://alitovchenko.r-universe.devhttps://github.com/alitovchenko/tidyildbrms-dynamics-recipes.Rmdbrms-dynamics-recipes.htmlBayesian dynamics recipes (ild_brms)2026-04-06 16:45:222026-04-11 06:06:11kfas-choosing-backend.Rmdkfas-choosing-backend.htmlChoosing between lme/nlme, brms, KFAS, and ctsem2026-03-21 20:47:372026-04-06 16:45:22ctsem-continuous-time-dynamics.Rmdctsem-continuous-time-dynamics.htmlContinuous-Time Dynamics with ctsem in tidyILD2026-03-31 22:16:172026-03-31 22:16:17developer-contracts.Rmddeveloper-contracts.htmlDeveloper contracts (package standards)2026-03-21 03:55:422026-03-21 16:10:05tidyILD-workflow.RmdtidyILD-workflow.htmlFrom raw data to model with tidyILD2026-02-11 06:20:062026-04-06 16:45:22ild-glossary-and-quickstart.Rmdild-glossary-and-quickstart.htmlGlossary and quick-start checklist2026-02-11 06:20:162026-04-29 18:58:20heterogeneity-interpretation.Rmdheterogeneity-interpretation.htmlHeterogeneity and person-specific effects2026-04-06 16:45:222026-04-06 18:45:38kfas-irregular-timing-spacing.Rmdkfas-irregular-timing-spacing.htmlIrregular measurement and latent state tracking2026-03-21 20:47:372026-03-21 20:47:37ild-missingness-workflow.Rmdild-missingness-workflow.htmlMissingness in ILD: diagnostics and sensitivity routes2026-04-06 18:45:382026-04-06 18:45:38msm-identification-and-recovery.Rmdmsm-identification-and-recovery.htmlMSM Identification and Recovery in tidyILD2026-03-31 16:35:392026-03-31 16:35:39ild-provenance.Rmdild-provenance.htmlReproducible ILD workflows with tidyILD provenance2026-03-07 03:31:012026-03-07 03:33:14ild-analysis-report.Rmdild-analysis-report.htmlShort analysis report2026-03-05 02:22:252026-03-23 01:54:32benchmark-simulation-recovery.Rmdbenchmark-simulation-recovery.htmlSimulation benchmarks: recovery and power2026-03-22 03:44:482026-04-06 16:45:22ild-specialist-backends.Rmdild-specialist-backends.htmlSpecialist backends: when to move beyond the default stack2026-04-11 06:06:112026-04-11 06:06:11kfas-state-space-modeling.Rmdkfas-state-space-modeling.htmlState-space modeling in tidyILD with KFAS2026-03-21 20:47:372026-03-21 20:47:37temporal-dynamics-model-choice.Rmdtemporal-dynamics-model-choice.htmlTemporal dynamics: choosing a model for ILD2026-04-06 16:45:222026-04-11 06:06:11tsibble-interoperability.Rmdtsibble-interoperability.htmlTsibble interoperability2026-03-21 22:15:042026-03-21 22:15:04visualization-in-tidyILD.Rmdvisualization-in-tidyILD.htmlVisualization in tidyILD2026-04-06 19:42:192026-04-06 19:57:41ild-decomposition-and-spacing.Rmdild-decomposition-and-spacing.htmlWithin-between decomposition and handling irregular spacing2026-02-11 06:20:062026-04-06 18:45:38