R: Selection and Misclassification Bias Adjustment for Logistic Regression Models

# Selection and Misclassification Bias Adjustment for Logistic Regression Models

## Documentation for package ‘SAMBA’ version 0.9.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

approxdist | Estimate parameters in the disease model approximating the observed data distribution
nonlogistic | Estimate parameters in the disease model given sensitivity as a function of covariates.
obsloglik | Estimate parameters in the disease model using observed data log-likelihood using direct maximization.
obsloglikEM | Estimate parameters in the disease model using observed data log-likelihood using the expectation-maximization algorithm
samba.df | Synthetic example data for SAMBA adapted from the vignette
sensitivity | Estimate sensitivity