Whole_est: Second Step of Estimate
In benliemory/BinStrain: Statistical modeling for SNP based genotyping of mixed bacterial strains
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Using quadratic optimization method to estimate all the betas.
Usage
1
Arguments
results
The results from the estimate in Step I.
data
The data after preprocessing.
Value
Return the estimate after step II.
Author(s)
Sandeep J. Joseph and Ben Li
Examples
1
2
3
4
5
6
7
8
9
##Load the example data or specify your own data
data(Sample)
data(SNP.Pattern)
##Preprocess the sample data
Sample2 = Preprocessing(Sample, SNP.Pattern)
##Step I estimate
Result2 = Single_est(Sample, SNP.Pattern)
##Step II estimate
betas = Whole_est(Result2,Sample2)
benliemory/BinStrain documentation built on May 12, 2019, 12:14 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Using quadratic optimization method to estimate all the betas.
Usage
1 |
Arguments
results |
The results from the estimate in Step I. |
data |
The data after preprocessing. |
Value
Return the estimate after step II.
Author(s)
Sandeep J. Joseph and Ben Li
Examples
1 2 3 4 5 6 7 8 9 | ##Load the example data or specify your own data
data(Sample)
data(SNP.Pattern)
##Preprocess the sample data
Sample2 = Preprocessing(Sample, SNP.Pattern)
##Step I estimate
Result2 = Single_est(Sample, SNP.Pattern)
##Step II estimate
betas = Whole_est(Result2,Sample2)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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