criteria.onegroup: Assess a goodness-of-fit metric
In chencxxy28/MultiRD: Multi-robust deconvolution algorithm
Description
Usage
Arguments
Value
Description
A goodness-of-fit metric is calculated to assess the performance of given proportion estimation
Usage
1
2
3
4
criteria.onegroup(
bulk.data,
prop.used
)
Arguments
bulk.data
ExpressionSet object for a test bulk data
prop.used
A given proportion estimation
Value
An evaluation based on three metrics, that is, median, mean absolute deviance (MAD), and root of mean square deviance (RMSD). The latter two are more recommended to use in practice.
chencxxy28/MultiRD documentation built on Dec. 19, 2021, 3:03 p.m.
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Description Usage Arguments Value
Description
A goodness-of-fit metric is calculated to assess the performance of given proportion estimation
Usage
1 2 3 4 | criteria.onegroup(
bulk.data,
prop.used
)
|
Arguments
bulk.data |
ExpressionSet object for a test bulk data |
prop.used |
A given proportion estimation |
Value
An evaluation based on three metrics, that is, median, mean absolute deviance (MAD), and root of mean square deviance (RMSD). The latter two are more recommended to use in practice.
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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