slide_BCV: Selects binary structure for SLIDE model using...

In irinagain/SLIDE: Structural Learning and Integrative Decomposition of Multi-View Data

Description

Selects binary structure for SLIDE model using bi-cross-validation based on the supplied set of candidate structures

Usage

slide_BCV(
  X,
  pvec,
  structure_list,
  n_fold = 3,
  p_fold = 3,
  k_max = 1000,
  eps = 1e-06,
  center = T
)

Arguments

X	A n x p concatenated data matrix of views X_1,...,X_d.
pvec	A vector of values p_1,....,p_d corresponding to the number of measurements within each data view.
structure_list	A list of distinct binary structures which forms a candidate set for SLIDE model.
n_fold	A number of folds for rows, the default value is 3.
p_fold	A number of folds for columns, the default value is 3.
k_max	A maximal number of allowed iterations for SLIDE model fitting, the default value is 1000.
eps	A convergence tolerance criterion, the default value is 1e-6.
center	A logical indicator of whether the data is centered, the default value is TRUE.

Value

A list with the elements

structure_list	A list of candidate structures, same as the input structure_list.
structure_min	A binary matrix corresponding to the structure with minimal error across the folds.
error_mean	Total error values across the folds for each structure from the list.
error	Matrix of error values for each fold and each structure.

Examples

n = 100
p1 = 25
p2 = 25
data = generateModel1(n = n, pvec = c(p1, p2))

# Standardize the data
out = standardizeX(data$X, pvec = c(p1,p2))

# Create a list of candidate structures
out_struct <- create_structure_list(out$X, data$pvec, lambda_max = max(out$svec),
 standardized = TRUE)

# Select a structure from the list using bcv procedure
out_bcv <- slide_BCV(out$X, data$pvec, structure_list = out_struct$Slist)
out_bcv$structure_min

irinagain/SLIDE documentation built on Aug. 14, 2021, 2:56 p.m.