Man pages for hychen-uic/TEV
Total Explained Variation

BPsBloop pressure data (outcomes)for the jasa paper
CCBPscomplete cases (main part of the data) for the jasa paper
CHIVEEstimate the explained variation in high-dimensional linear...
EigenPrismEigenPrism procedure for estimating and generating confidence...
EigenPrismFullEstimating proportion of explained variation using the...
exampleExample data for method illustration
FULLREMLThis function implement the maximum likelihood approach with...
GCTAREMLThis function implement the maximum likelihood approach with...
GREThis function implement the generalized random effects model...
IMPallcovsix copies of imputed data for the jasa paper
jasaDataAnalysisPerform data analysis to estimate the proportion of explained...
jasaSIMULATIONSimulation studies for JASA submission
makecoragenerate a square root of a correlation matrix
makecorbgenerate a square root of a correlation matrix by specifying...
makedatGenerate data for simulation studies.
makedataGenerate data following high-dimensional linear model.
projectProject x to the orthogonal complement of c.
projedproject data matrix x to the orthogonal complement of data...
R2GCTAThe GCTA approach with bootstrap variance estimate
RVeeEstimating equation approach to the proportion of the...
RVepEstimating proportion of explained variation using the...
RVlsLeast-square approach to proportion of the explained...
RVmldeThis function implement the maximum likelihood approach of...
RVmldeaThis function implement the maximum likelihood approach of...
RVsdEstimating equation approach to the proportion of the...
RVsdoldEstimating equation approach to the proportion of the...
seldifdatSelect data with index in dat1, but not in dat2. Assuming...
SoutputOutput simulation results.
sqrtpdmFind the square root of a positive definite matrix
transfDecorrelation transformation
transfsdDecorrelation
trueRVCalculation of the true r2 and explained variance v2 by...
zscaleRescale data matrix
hychen-uic/TEV documentation built on Jan. 24, 2025, 9:14 p.m.