pknnCMA-methods: Probabilistic nearest neighbours
In chbernau/CMA: Synthesis of microarray-based classification
Description
Nearest neighbour variant that replaces the simple
voting scheme by a weighted one (based on euclidean distances).
This is also used to compute class probabilities.
Methods
- X = "matrix", y = "numeric", f = "missing"
signature 1
- X = "matrix", y = "factor", f = "missing"
signature 2
- X = "data.frame", y = "missing", f = "formula"
signature 3
- X = "ExpressionSet", y = "character", f = "missing"
signature 4
For further argument and output information, consult
pknnCMA.
chbernau/CMA documentation built on May 17, 2019, 12:04 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Nearest neighbour variant that replaces the simple voting scheme by a weighted one (based on euclidean distances). This is also used to compute class probabilities.
Methods
- X = "matrix", y = "numeric", f = "missing"
signature 1
- X = "matrix", y = "factor", f = "missing"
signature 2
- X = "data.frame", y = "missing", f = "formula"
signature 3
- X = "ExpressionSet", y = "character", f = "missing"
signature 4
For further argument and output information, consult
pknnCMA.
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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