aenetgt-package | Adaptive Elastic Net for Group Testing Data |
aic.bic.eric.enetgt.grid | Chooses tuning parameters via AIC, BIC, and ERIC. |
all_binary_sequences | Generate all possible sequences of 0s and 1s of a given... |
array.assay.gen | Generates array testing data. |
CovYiYj.approx | Approximates the conditional covariance between all pairs of... |
cv.enetgt.grid | Peforms crossvalidation to select a combination of tuning... |
dorfman.assay.gen | Generates Dorfman testing data. |
enetgt | Computes the elastic net estimator with weighted l1 norm on... |
enetgt.grid | Computes the elastic net estimators with weighted l1 norm on... |
EYapprox | Approximates the conditional expectations of individual... |
EYexact | Computes conditional expectations of individual disease... |
EYexact_R | Computes conditional expectations of individual disease... |
get.array.cv.fold.data | Splits array testing data into crossvalidation data sets. |
get.dorfman.cv.fold.data | Splits Dorfman testing data into crossvalidation data sets. |
get.individual.cv.fold.data | Splits individual testing data into crossvalidation data... |
get.masterpool.cv.fold.data | Splits masterpool testing data into crossvalidation data sets |
individual.assay.gen | Generates individual testing data. |
logistic_enet | Compute the elastic net estimator for logistic regression |
logit | Compute probabilities based on the logit link. |
masterpool.assay.gen | Generates master pool testing data. |
mlegt | Computes the mle on group testing data. |
model0 | Generates data from model0. |
model1 | Generates data from model1. |
model2 | Generates data from model2. |
model3 | Generates data from model3. |
pull.diagnoses | Pulls individual diagnoses from group testing data if... |
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