MLGL-package |
MLGL |
bootstrapHclust |
Hierarchical Clustering with distance matrix computed using bootstrap replicates |
coef.cv.MLGL |
Get coefficients from a 'cv.MLGL' object |
coef.MLGL |
Get coefficients from a 'MLGL' object |
computeGroupSizeWeight |
Compute the group size weight vector with an authorized maximal size |
cv.MLGL |
Multi-Layer Group-Lasso with cross V-fold validation |
Ftest |
F-test |
fullProcess |
Full process of MLGL |
fullProcess.default |
Full process of MLGL |
fullProcess.formula |
Full process of MLGL |
hierarchicalFDR |
Hierarchical testing with FDR control |
hierarchicalFWER |
Hierarchical testing with FWER control |
HMT |
Hierarchical Multiple Testing procedure |
listToMatrix |
Obtain a sparse matrix of the coefficients of the path |
MLGL |
Multi-Layer Group-Lasso |
MLGL.default |
Multi-Layer Group-Lasso |
MLGL.formula |
Multi-Layer Group-Lasso |
overlapgglasso |
Group-lasso with overlapping groups |
partialFtest |
Partial F-test |
plot.cv.MLGL |
Plot the cross-validation obtained from 'cv.MLGL' function |
plot.fullProcess |
Plot the path obtained from 'fullProcess' function |
plot.HMT |
Plot the path obtained from 'HMT' function |
plot.MLGL |
Plot the path obtained from 'MLGL' function |
plot.stability.MLGL |
Plot the stability path obtained from 'stability.MLGL' function |
predict.cv.MLGL |
Predict fitted values from a 'cv.MLGL' object |
predict.MLGL |
Predict fitted values from a 'MLGL' object |
print.fullProcess |
Print Values |
print.HMT |
Print Values |
print.MLGL |
Print Values |
selFDR |
Selection from hierarchical testing with FDR control |
selFWER |
Selection from hierarchical testing with FWER control |
simuBlockGaussian |
Simulate multivariate Gaussian samples with block diagonal variance matrix |
stability.MLGL |
Stability Selection for Multi-Layer Group-lasso |
summary.fullProcess |
Object Summaries |
summary.HMT |
Object Summaries |
summary.MLGL |
Object Summaries |
uniqueGroupHclust |
Find all unique groups in 'hclust' results |