R: Methods to Impute and Analyze Data with BLOQ Observations

# Methods to Impute and Analyze Data with BLOQ Observations

## Documentation for package ‘BLOQ’ version 0.1-2

- DESCRIPTION file
- Package NEWS

## Help Pages

estimateAUCandStdErr | Estimate AUC and its standard error
estimateAUCwithCMLperTimePoint | estimate AUC with censored maximum likelihood per time point
estimateAUCwithFullCML | estimate AUC with Full censored maximum likelihood
estimateAUCwithMVNCML | estimate AUC with multivariate normal censored maximum likelihood
estimateAUCwithPairwiseCML | estimate AUCwith pairwise censored maximum likelihood
imputeBLOQ | impute BLOQ's with various methods
imputeCML | imputing BLOQ's using censored maximum likelihood
imputeConstant | imputing BLOQ's with a constant value
imputeKernelDensityEstimation | imputing BLOQ's using kernel density estimation
imputeROS | imputing BLOQ's using regression on order statistics
simulateBealModelFixedEffects | simulate data from Beal model with fixed effects
simulateBealModelMixedEffects | simulate data from Beal model with fixed and random effects