R: Measurement Error Modelling using MCEM

# Measurement Error Modelling using MCEM

## Documentation for package ‘refitME’ version 1.3.1

- DESCRIPTION file
- Package README

## Help Pages

anova.refitME | An ANOVA function for fitted 'refitME' objects
anova_MCEMfit_glm | An ANOVA function for fitted 'MCEMfit_glm' objects
Corymbiaeximiadata | The Corymbia eximia presence-only data set
Framinghamdata | The Framingham heart study data set
logLik.refitME | Extract log-Likelihoods for 'refitME' model objects
logLik_MCEMfit_lm | Extract log-Likelihoods for 'MCEMfit_lm' model objects
MCEMfit_CR | Function for fitting 'VGAM' capture-recapture (CR) model using the MCEM algorithm
MCEMfit_gam | Function for wrapping the MCEM algorithm on 'gam' objects
MCEMfit_gen | Function for fitting any likelihood-based model using the MCEM algorithm
MCEMfit_glm | Function for wrapping the MCEM algorithm on 'lm' or 'glm' objects
Milanmortdata | The Milan mortality data set
Priniadata | The yellow-bellied Prinia _Prinia flaviventris_ capture-recapture data
refitME | A wrapper function for correcting measurement error in predictor variables via the MCEM algorithm
sqrt.na | Function that replaces NA with zero for a matrix
wt.var | Function that calculates a weighted variance