flash: FLASH
In kkdey/flashr: Factor Loading Adaptive SHrinkage in R

Description Usage Arguments Details Value

factor loading adaptive shrinkage rank one version

flash(Y, tol = 1e-05, maxiter_r1 = 500, partype = c("constant", "known",
  "Bayes_var", "var_col", "noisy"), sigmae2_true = NA, factor_value = NA,
  fix_factor = FALSE, nonnegative = FALSE, objtype = c("margin_lik",
  "lowerbound_lik"), ash_para = list(), fl_list = list())

`Y`	the data matrix
`tol`	is for the tolerence for convergence in iterations and ash
`partype`	parameter type for the variance, "constant" for constant variance, "var_col" for nonconstant variance for column, "known" for the kown variance, "Bayes_var" for Bayes version of the nonconstant variance for row and column "loganova" is anova estiamtion for the log residual square
`sigmae2_true`	true value for the variance structure
`factor_value`	is the factor value if the factor is fixed
`fix_factor`	whether the factor is fixed or not TRUE for fix_factor FALSE for non-constraint
`nonnegative`	if the facotor and loading are nonnegative or not. TRUE for nonnegative FALSE for no constraint
`objtype`	objective function type, "margin_lik" for conditional likelihood, "lowerbound_lik" for full objective function
`ash_para`	is the parameters list for ash
`fl_list`	is a list containing all the informations from other factors ans loadings l is loadings, f is factors, l2 and f2 are corresponding second moments. priorpost_vec is expectation of log piropost ratio clik is conditional likelihood (marginal likelihood)
`maciter_r1`	is maximum of the iteration times for rank one case