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 |