Profiles and targets subpopulations with high Treatment EEFects


[Up] [Top]

Documentation for package ‘teff’ version 0.1.0

Help Pages

boxPlot Box plots for inferred treatment effects of individuals from target
data4teff Data with feature (transcriptpmic) and treatment-effect response data for targeting individuals with a profile associated with high treatment response, as derived in an independent study with predictteff.
feateff Extracts treatment, the outcome on which the effect is assessed, and feature data from transcriptomic and methylomic studies
mean_ci returns the 'mean' and the error limits defined by the 'confidence interval'.
pasiw12 Response to Brodalumab treatment of psoriasis. The data is used to compare the prediction of individual treatment response as inferred by predictteff on psoriasis data. It is available through data(psoriasis)
plotPredict Plots predicted treatment effects of individuals from predicteff
plotTarget Plots estimated treatment effects of individuals from target
predicteff Predicts treatment effects on an outcome for individuals randomly sampled from the entire dataset (default 20%).
print.pteff Prints pteff object
print.tarteff Prints tarteff object
psoriasis Data example for predictteff, which is used to infer individual Brodalumab treatment response.
target Targets individuals into groups of positive, negative or neutral effect of treatment on an outcome.
tcell Data example for predictteff, which is used to infer individual sex effect on tcell abundance in blood.
teff teff (treatment effects classification): Package for classifying individuals into subpoulations associated with positive and negative treatment effects using feature data.