Tidy Intensive Longitudinal Data Analysis R package tidyILD version 0.4.1 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. Software Depends: R (>= 4.1.0) Imports: tibble, dplyr, lubridate, rlang, lme4, nlme, ggplot2, mgcv Suggests: BH, testthat (>= 3.0.0), roxygen2, knitr, rmarkdown, rstan, RcppEigen, broom.mixed, clubSandwich, jsonlite, yaml, tsibble, brms, KFAS, ctsem Alex Litovchenko <al4877@columbia.edu> Comprehensive R Archive Network (CRAN) Alex Litovchenko [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=tidyILD/LICENSE) 2026-06-13 application/tgz https://CRAN.R-project.org/package=tidyILD doi:10.32614/CRAN.package.tidyILD