Man pages for cayek/associationr
An implementation of association analysis tools

boot.lmSampling of linear model parameters using bootstrap method.
calibration.madcalibrate zscore with mad estimator of variance
gwas.linearmodelX = mu + G_j * B + epsilon
gwas.linearmodel.ridgeX = G * B + epsilon + regularisation ridge
lfmm.ml.ridgeLFMM with ridge likelihood
lfmm.ml.ridge2LFMM with ridge likelihood implementation 2
lfmm.ml.ridge2.lrLFMM with ridge likelihood implementation 2 + LR for score
lfmm.ml.ridge2.normalizationLFMM with ridge likelihood implementation 2 + normalization
lfmm.ml.ridge3LFMM with ridge likelihood implementation 3
linear_modelonly LM
sample.binary.modelSample P(G) = logistic(mu + UV^T + XB^T + e)
sample.normal.modelSample G = mu + UV^T + XB^T + e
sample.phenotypeSample Phenotype = Somme(B_j * G_j) + epsilon Same simulation...
cayek/associationr documentation built on May 12, 2017, 12:01 a.m.