opt_x: Optimize X given C, Y and Z

In linnykos/eSVD2: eSVD2 for performing the eSVD-DE for cohort-wide differential expression analysis

Optimize X given C, Y and Z

Description

Optimize X given C, Y and Z

Usage

opt_x(
  XC_init,
  YZ,
  k,
  loader,
  family,
  s,
  gamma,
  l2penx,
  verbose = 0,
  inplace = FALSE,
  ...
)

Arguments

XC_init	Initial value for the '[X C]' matrix, X [n x k], C [n x r]
YZ	The '[Y Z]' matrix, Y [p x k], Z [p x r]
k	Number of columns in X and Y
loader	The data loader, typically returned by data_loader()
family	A family object, typically returned by esvd_family()
s	The library size vector, [n x 1]
gamma	The nuisance parameter vector, [p x 1]
l2penx	The l2 penalty parameter for X, a scalar
verbose	Verbosity parameter
inplace	Whether the input XC_init will be modified and returned
...	Additional parameters

linnykos/eSVD2 documentation built on July 17, 2024, 12:01 a.m.