Package: svyVGAM 1.3

svyVGAM: Design-Based Inference in Vector Generalised Linear Models

Provides inference based on the survey package for the wide range of parametric models in the 'VGAM' package.

Authors:Thomas Lumley [aut, cre]

svyVGAM_1.3.tar.gz
svyVGAM_1.3.zip(r-4.7)svyVGAM_1.3.zip(r-4.6)svyVGAM_1.3.zip(r-4.5)
svyVGAM_1.3.tgz(r-4.6-any)svyVGAM_1.3.tgz(r-4.5-any)
svyVGAM_1.3.tar.gz(r-4.7-any)svyVGAM_1.3.tar.gz(r-4.6-any)
svyVGAM_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
svyVGAM/json (API)

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

Bug tracker:https://github.com/tslumley/svyvgam/issues

Datasets:
  • nhanes_sxq - Data from NHANES: number of sex partners

On CRAN:

Conda:

7.12 score 7 stars 1 packages 123 scripts 5.1k downloads 1 exports 11 dependencies

Last updated from:52c0166c77. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK143
source / vignettesOK253
linux-release-x86_64OK143
macos-release-arm64OK114
macos-oldrel-arm64OK113
windows-develOK149
windows-releaseOK98
windows-oldrelOK87
wasm-releaseOK99

Exports:svy_vglm

Dependencies:DBIlatticeMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvivalVGAM

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Rendered fromtheory.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2020-09-10
Started: 2020-09-10

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Rendered fromzeroinfl.Rmdusingknitr::rmarkdownon May 23 2026.

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