Desimml: Distributed Estimation in Single-Index Models with Multiple Links ('Desimml')

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 (may not be active yet)
Author:	Guangbao Guo [aut, cre]
Maintainer:	Guangbao Guo <ggb11111111 at 163.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	Desimml results

Documentation:

Reference manual:	Desimml.html , Desimml.pdf
Vignettes:	Introduction to Desimml (source, R code)

Downloads:

Package source:	Desimml_0.1.4.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): Desimml_0.1.4.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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