Links[{"label":"tidyILD.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/refman/tidyILD.html"},{"label":"tidyILD.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/tidyILD.pdf"},{"label":"Simulation benchmarks: recovery and power","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/benchmark-simulation-recovery.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/benchmark-simulation-recovery.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/benchmark-simulation-recovery.R"},{"label":"Bayesian dynamics recipes (ild_brms)","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/brms-dynamics-recipes.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/brms-dynamics-recipes.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/brms-dynamics-recipes.R"},{"label":"Continuous-Time Dynamics with ctsem in tidyILD","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/ctsem-continuous-time-dynamics.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/ctsem-continuous-time-dynamics.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/ctsem-continuous-time-dynamics.R"},{"label":"Developer contracts (package standards)","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/developer-contracts.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/developer-contracts.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/developer-contracts.R"},{"label":"Heterogeneity and person-specific effects","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/heterogeneity-interpretation.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/heterogeneity-interpretation.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/heterogeneity-interpretation.R"},{"label":"Short analysis report","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/ild-analysis-report.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/ild-analysis-report.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyILD/vignettes/ild-analysis-report.R"}]
TextReference manual: tidyILD.html , tidyILD.pdf Vignettes: Simulation benchmarks: recovery and power ( source , R code ) Bayesian dynamics recipes (ild_brms) ( source , R code ) Continuous-Time Dynamics with ctsem in tidyILD ( source , R code ) Developer contracts (package standards) ( source , R code ) Heterogeneity and person-specific effects ( source , R code ) Short analysis report ( source , R code ) Within-between decomposition and handling irregular spacing ( source , R code ) Glossary and quick-start checklist ( source , R code ) Missingness in ILD: diagnostics and sensitivity routes ( source , R code ) Reproducible ILD workflows with tidyILD provenance ( source , R code ) Specialist backends: when to move beyond the default stack ( source , R code ) Choosing between lme/nlme, brms, KFAS, and ctsem ( source , R code ) Irregular measurement and latent state tracking ( source , R code ) State-space modeling in tidyILD with KFAS ( source , R code ) MSM Identification and Recovery in tidyILD ( source , R code ) Temporal dynamics: choosing a model for ILD ( source , R code ) From raw data to model with tidyILD ( source , R code ) Tsibble interoperability ( source , R code ) Visualization in tidyILD ( source , R code )