Introduction | Meanscore method | SIPW, AIPW, miSIPW, miAIPW | Model Selection Crietrion QIC
Package: MIIPW 0.1.2
MIIPW: IPW and Mean Score Methods for Time-Course Missing Data
Contains functions for data analysis of Repeated measurement using GEE. Data may contain missing value in response and covariates. For parameter estimation through Fisher Scoring algorithm, Mean Score and Inverse Probability Weighted method combining with Multiple Imputation are used when there is missing value in covariates/response. Reference for mean score method, inverse probability weighted method is Wang et al(2007)<doi:10.1093/biostatistics/kxl024>.
Authors:
MIIPW_0.1.2.tar.gz
MIIPW_0.1.2.zip(r-4.7)MIIPW_0.1.2.zip(r-4.6)MIIPW_0.1.2.zip(r-4.5)
MIIPW_0.1.2.tgz(r-4.6-any)MIIPW_0.1.2.tgz(r-4.5-any)
MIIPW_0.1.2.tar.gz(r-4.7-any)MIIPW_0.1.2.tar.gz(r-4.6-any)
MIIPW_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MIIPW/json (API)
| # Install 'MIIPW' in R: |
| install.packages('MIIPW', repos = c('https://atanubhattacharjee.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- srdata1 - Protein data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6b7de4a603. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 227 | ||
| source / vignettes | OK | 202 | ||
| linux-release-x86_64 | OK | 186 | ||
| macos-release-arm64 | OK | 131 | ||
| macos-oldrel-arm64 | OK | 124 | ||
| windows-devel | OK | 119 | ||
| windows-release | OK | 143 | ||
| windows-oldrel | OK | 134 | ||
| wasm-release | OK | 121 |
Exports:AIPWlmeaipwlmeipwlmemeanscoreMeanScoremiAIPWmiSIPWprint_ipwprint_meanscoreQICmiipwSIPWsummary_ipwsummary_meanscoreupdateALphaupdateBetaUpdatePhiupdateSandW
Dependencies:abindbackportsbitbit64bootbroomclicliprcodetoolscpp11crayondeldirdplyrforcatsforeachgenericsglmnetgluegoftesthavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmgcvmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigpolyclipprettyunitsprogresspurrrR6rbibutilsRcppRcppEigenRdpackreadrreformulasrlangrpartshapespatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrsurvivaltensortibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit a geeglm model using AIPW | AIPW |
| Fits a marginal model using AIPW | lmeaipw |
| Fits a marginal model using IPW | lmeipw |
| Fits a marginal model using meanscore | lmemeanscore |
| Fit a geeglm model using meanScore | MeanScore |
| Fit a geeglm model using miAIPW | miAIPW |
| Fit a geeglm model using miSIPW | miSIPW |
| print method for ipw | print_ipw |
| print method for meanscore | print_meanscore |
| Model Selection criteria QIC | QICmiipw |
| Fit a geeglm model using SIPW | SIPW |
| protein data | srdata1 |
| summary method for ipw | summary_ipw |
| summary method for meanscore | summary_meanscore |
| internal function for updating alpha | updateALpha |
| internal function for updating beta through Fisher Scoring | updateBeta |
| internal function for updating scale parameter | UpdatePhi |
| internal function for sandwich estimator | updateSandW |
