BGFA_cocoreg_interface: Apply GFA using the same interface as cocoreg()

In bwrc/cocoreg-r: Extract Shared Variation in Collections of Data Sets Using Regression Models

Description

Note: if K is too high GFA() might not converge in a meaningful time or the computation may mysteriously crash.

Usage

BGFA_cocoreg_interface(df_list, K = 8, Nrep = 2, threshold = 0.001)

Arguments

df_list	[1,m] list of data.frames, Input data to GFA in COCOREG format
K	[1,1] int, (Maximum) number of GFA components
Nrep	[1,1] int, Number of random initialization used for learning the model
threshold	[1,1] double, GFA model trimming threshold

Value

A list with elements:

$data:	[1,m] list of data.frames, Original data reconstructed using only those latent components that are active in all datasets
$model:	a list, Non-trimmed output of CCAGFA::GFA()
$dataid:	string, Dataset identifier string
$method:	string, Analysis method identifier string
$wall_time_taken:	[1,1] double, Time taken to run the analysis in seconds

bwrc/cocoreg-r documentation built on May 13, 2019, 9:09 a.m.