rmd: imputation by robust matrix decomposition

Description Usage Arguments Author(s)

Description

imputation by robust matrix decomposition

Usage

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rmd(Y, tau = NULL, lambda = NULL, initL = NULL, initS = NULL,
  initLambda = NULL, maxiter = 100, abstol = 0.001, reltol = 0.001,
  rho = 1, overrelax = 1.5, candidate = 0.05, econ = 1)

Arguments

Y

A single cell RNA data matrix; rows representing cells.

tau

Tuning parameter to penalize the sparsity of S;

lambda

Tuning parameter to penalize the row rank of L;

initL

The initionlization of L;

initS

The initionlization of S;

initLambda

The initionlization of Lambda;

maxiter

maxmium iteration of algorithm;

candidate

the cutoff for candidate drop out;

Author(s)

Chong Chen, cheung1990@126.com


ChongC1990/scRMD documentation built on May 27, 2019, 4:05 a.m.