Impute and Analyze Data with BLOQ Observations
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Documentation for package ‘BLOQ’ version 0.1-1
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 |