multigmmmanydata: Split the input dataset into several sub list to...

In l1kdeconv: Deconvolution for LINCS L1000 Data

Description

Due to the limitation of optimization that too many data would dramatically slow down the speed.

Usage

multigmmmanydata(x, grp_size = 3, lambda_lower = 0.1, lambda_upper = 1 -
  lambda_lower, sigma_lower = 0.01, debug = F)

Arguments

x	a list of numeric vector
grp_size	the normal group size for each group
lambda_lower	the lower bound of λ
lambda_upper	the upper bound of λ
sigma_lower	the lower bound of σ
debug	enable the debug mode to show par and fn

Examples

set.seed(0)
x1=c(rnorm(150, mean=0), rnorm(50, mean=10))
x2=c(rnorm(150, mean=20), rnorm(50, mean=40))
x3=c(rnorm(150, mean=30), rnorm(50, mean=60))
x4=c(rnorm(150, mean=30), rnorm(50, mean=60))
x5=c(rnorm(150, mean=30), rnorm(50, mean=60))
x6=c(rnorm(150, mean=30), rnorm(50, mean=60))
x=list(x1, x2, x3, x4, x5, x6)
multigmmmanydata(x)

l1kdeconv documentation built on May 2, 2019, 10:16 a.m.