Package: Desimml 0.1.4

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.

Authors:Guangbao Guo [aut, cre]

Desimml_0.1.4.tar.gz
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Desimml_0.1.4.tgz(r-4.6-any)Desimml_0.1.4.tgz(r-4.5-any)
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manual.pdf |manual.html✨
card.svg |card.png
Desimml/json (API)

# Install 'Desimml' in R:
install.packages('Desimml', repos = c('https://guangbaog.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 499 downloads 6 exports 4 dependencies

Last updated from:68ad78cd73. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK131
source / vignettesOK178
linux-release-x86_64OK132
macos-release-arm64OK109
macos-oldrel-arm64OK83
windows-develOK112
windows-releaseOK103
windows-oldrelOK83
wasm-releaseOK92

Exports:der.linkfit.simmlgenerate.dataordinal.datapred.simmlsimml

Dependencies:latticeMatrixmgcvnlme

Introduction to Desimml: Distributed Estimation in Single-Index Models with Multiple Links

Rendered fromIntroduction_to_Desimml.Rmdusingknitr::rmarkdownon May 19 2026.

Last update: 2026-03-19
Started: 2026-03-19