Optimize eSVD for eSVD objects

Usage

# S3 method for class 'eSVD'
opt_esvd(
  input_obj,
  fit_name = "fit_First",
  fit_previous = "fit_Init",
  l2pen = 0.1,
  max_iter = 100,
  offset_variables = NULL,
  tol = 1e-06,
  verbose = 0,
  ...
)

Arguments

input_obj: eSVD object outputed from apply_initial_threshold.
fit_name: String for the name of that will become the current fit when storing the results in input_obj.
fit_previous: String for the name of the previous fit that this function will grab the initialization values from.
l2pen: Small positive number for the amount of penalization for both the cells' and the genes' latent vectors as well as the coefficients.
max_iter: Positive integer for number of iterations.
offset_variables: A vector of strings depicting which column names in input_obj$covariate be treated as an offset during the optimization (i.e., their coefficients will not change throughout the optimization).
tol: Small positive number to differentiate between zero and non-zero.
verbose: Integer.
...: Additional parameters.

Value

eSVD object with added elements with name to whatever fit_name was set to.