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Provides a user-friendly wrapper for fitting Distributed Single-Index Models with Multiple Links ('SIMML'). It estimates a linear combination (single-index) of baseline covariates X and models the treatment-specific outcome y via treatment-specific, non-parametrically estimated link functions. This allows flexible modelling of complex relationships between covariates, treatments and outcomes.
| Version: | 0.1.4 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, mgcv |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-03-19 |
| DOI: | 10.32614/CRAN.package.Desimml |
| Author: | Guangbao Guo [aut, cre] |
| Maintainer: | Guangbao Guo <ggb11111111 at 163.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | Desimml results |
| Reference manual: | Desimml.html , Desimml.pdf |
| Vignettes: |
Introduction to Desimml (source, R code) |
| Package source: | Desimml_0.1.4.tar.gz |
| Windows binaries: | r-devel: Desimml_0.1.4.zip, r-release: Desimml_0.1.4.zip, r-oldrel: Desimml_0.1.4.zip |
| macOS binaries: | r-release (arm64): Desimml_0.1.4.tgz, r-oldrel (arm64): Desimml_0.1.4.tgz, r-release (x86_64): Desimml_0.1.4.tgz, r-oldrel (x86_64): Desimml_0.1.4.tgz |
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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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