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-any)svyVGAM_1.3.zip(r-4.6-any)svyVGAM_1.3.zip(r-4.5-any)
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✨
DESCRIPTION
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:

7.10 score 7 stars 2 packages 134 scripts 2.3k downloads 1 exports 11 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK144
source / vignettesOK195
linux-releaseOK123
macos-releaseOK105
macos-oldrelOK86
windows-develOK90
windows-releaseOK79
windows-oldrelOK145
wasm-releaseOK123

Exports:svy_vglm

Dependencies:DBIlatticeMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvivalVGAM

Zero-inflated Poisson model for complex survey data
Re-scaling the weights | svymle | svyVGAM
Rendered fromzeroinfl.Rmdusingknitr::rmarkdown

Last update: 2022-06-13
Started: 2020-08-03

VGAMs for survey data: theory
Resampling | Linearisation
Rendered fromtheory.Rmdusingknitr::rmarkdown

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