F1.SCORE.FOR.BMA: F1.SCORE.FOR.BMA : F1 score for bigmma package (for...
In jumentib/useFonc: Useful Functions
Description
Usage
Arguments
Details
Value
Description
F1.SCORE.FOR.BMA : F1 score for bigmma package (for simulation)
Usage
1
F1.SCORE.FOR.BMA(bma, causal, M = NULL)
Arguments
bma
result of the data.org.big function
causal
true result of the simulation
M
matrix of methylation
Details
F1 = 2*recall*power/(recall + power)
Value
precision : statistical precision of the test : TP / (TP + FP)
recall : statistical recall of the test : TP / (TP + FN)
f1_score : F1 Score of the test : 2(Pre * Rec) / (Pre + Rec)
length.list : number of pValues lower than "ral" (Bonferroni correction).
TP : True positive
FP : False positive
FN : False negative
jumentib/useFonc documentation built on Nov. 18, 2019, 3:17 p.m.
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Description Usage Arguments Details Value
Description
F1.SCORE.FOR.BMA : F1 score for bigmma package (for simulation)
Usage
1 | F1.SCORE.FOR.BMA(bma, causal, M = NULL)
|
Arguments
bma |
result of the data.org.big function |
causal |
true result of the simulation |
M |
matrix of methylation |
Details
F1 = 2*recall*power/(recall + power)
Value
precision : statistical precision of the test : TP / (TP + FP)
recall : statistical recall of the test : TP / (TP + FN)
f1_score : F1 Score of the test : 2(Pre * Rec) / (Pre + Rec)
length.list : number of pValues lower than "ral" (Bonferroni correction).
TP : True positive
FP : False positive
FN : False negative
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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