An automated routing engine for longitudinal missing data. It utilizes a Lagrange-constrained Random Forest based on sample size, missingness rate, and skew to preserve structural variance.
| Version: | 0.1.0 |
| Imports: | Rcpp (≥ 1.0.0), missForest, MASS |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | lavaan, ggplot2, tidyr, dplyr, knitr, rmarkdown |
| Published: | 2026-05-21 |
| DOI: | 10.32614/CRAN.package.smriti (may not be active yet) |
| Author: | Xiyuan Guo [aut, cre] |
| Maintainer: | Xiyuan Guo <tommyguo039 at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17 |
| Materials: | README |
| CRAN checks: | smriti results |
| Reference manual: | smriti.html , smriti.pdf |
| Vignettes: |
Introduction to smriti (source, R code) |
| Package source: | smriti_0.1.0.tar.gz |
| Windows binaries: | r-devel: smriti_0.1.0.zip, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): smriti_0.1.0.tgz, r-oldrel (arm64): smriti_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available |
Please use the canonical form https://CRAN.R-project.org/package=smriti to link to this page.