R: IPW and Mean Score Methods for Time-Course Missing Data

# IPW and Mean Score Methods for Time-Course Missing Data

## Documentation for package ‘MIIPW’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

AIPW | Fit a geeglm model using AIPW
lmeaipw | Fits a marginal model using AIPW
lmeipw | Fits a marginal model using IPW
lmemeanscore | Fits a marginal model using meanscore
MeanScore | Fit a geeglm model using meanScore
miAIPW | Fit a geeglm model using miAIPW
miSIPW | Fit a geeglm model using miSIPW
print_ipw | print method for ipw
print_meanscore | print method for meanscore
QICmiipw | Model Selection criteria QIC
SIPW | Fit a geeglm model using SIPW
srdata1 | protein data
summary_ipw | summary method for ipw
summary_meanscore | summary method for meanscore
updateALpha | internal function for updating alpha
updateBeta | internal function for updating beta through Fisher Scoring
UpdatePhi | internal function for updating scale parameter
updateSandW | internal function for sandwich estimator