dist_jsd: dist_jsd Calculating Jensen-Shannon divergence basing the...
In gongcongcong/mbOmic: Integrative analysis of the microbiome and metabolome
dist_jsd R Documentation
dist_jsd
Calculating Jensen-Shannon divergence basing the formulate
JSD(P || Q) =
\sqrt{0.5 \times KLD (P||\frac{P + Q}{2}) + 0.5 \times KLD(Q||\frac{P+Q}{2})} .
Description
dist_jsd
Calculating Jensen-Shannon divergence basing the formulate
JSD(P || Q) =
\sqrt{0.5 \times KLD (P||\frac{P + Q}{2}) + 0.5 \times KLD(Q||\frac{P+Q}{2})} .
Usage
dist_jsd(b)
Arguments
b
a 'bSet' class
Value
Jensen-Shannon divergence data frame
Examples
data(iris)
b <- data.table::as.data.table(iris[1:6, 1:4])
b <- bSet(b = b,
Features = letters[1:6],
Samples = LETTERS[1:4])
dist <- dist_jsd(b)
gongcongcong/mbOmic documentation built on July 1, 2023, 1:47 p.m.
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| dist_jsd | R Documentation |
dist_jsd
Calculating Jensen-Shannon divergence basing the formulate
JSD(P || Q) =
\sqrt{0.5 \times KLD (P||\frac{P + Q}{2}) + 0.5 \times KLD(Q||\frac{P+Q}{2})} .
Description
dist_jsd
Calculating Jensen-Shannon divergence basing the formulate
JSD(P || Q) =
\sqrt{0.5 \times KLD (P||\frac{P + Q}{2}) + 0.5 \times KLD(Q||\frac{P+Q}{2})} .
Usage
dist_jsd(b)
Arguments
b |
a 'bSet' class |
Value
Jensen-Shannon divergence data frame
Examples
data(iris)
b <- data.table::as.data.table(iris[1:6, 1:4])
b <- bSet(b = b,
Features = letters[1:6],
Samples = LETTERS[1:4])
dist <- dist_jsd(b)
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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