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Provides 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: | 0.2.0 |
| Imports: | Rcpp (≥ 1.0.0) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | missForest, missRanger, ranger, mice, lavaan, ggplot2, tidyr, dplyr, knitr, rmarkdown, MASS |
| Published: | 2026-06-05 |
| DOI: | 10.32614/CRAN.package.smriti |
| 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) Outlier-Robust Imputation with smriti (source, R code) |
| Package source: | smriti_0.2.0.tar.gz |
| Windows binaries: | r-devel: smriti_0.2.0.zip, r-release: smriti_0.2.0.zip, r-oldrel: smriti_0.2.0.zip |
| macOS binaries: | r-release (arm64): smriti_0.2.0.tgz, r-oldrel (arm64): smriti_0.2.0.tgz, r-release (x86_64): smriti_0.2.0.tgz, r-oldrel (x86_64): smriti_0.2.0.tgz |
| Old sources: | smriti archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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