Single_est: Direct estimate in the first step

In benliemory/BinStrain: Statistical modeling for SNP based genotyping of mixed bacterial strains

Description

Utilize the sparsity of the design matrix to estimate partial of betas to lower the dimension of betas.

Usage

Single_est(Counts_Sample, SNP_Pattern, N = nrow(SNP_Pattern), filename = NA)

Arguments

Counts_Sample	## Original sample data
SNP_Pattern	## Original SNP pattern data
N	## Row number of SNP pattern
filename	## Optional output directory

Value

The estimate result from Step I.

Author(s)

Sandeep J. Joseph and Ben Li

Examples

##Load Sample data
data(Sample)
##Load SNP patter data
data(SNP.Pattern)
## Or specify your own data
## Run the first Step
Result2 = Single_est(Sample, SNP.Pattern)

benliemory/BinStrain documentation built on May 12, 2019, 12:14 p.m.