Man pages for tpq/amalgam
Amalgamation-Based Dimension Reduction of Compositional Data

adotAitchison Scalar Product for Vectors
amalgamThe 'amalgam' Package
amatAitchison Scalar Product for Matrices
as.slrTurn Components into Log-Ratios
int.from2bitConvert Bits to Integers
int.fromNbitConvert Bits to Integers
KLDCalculate Kullback-Leibler Divergence
objective.keepDistCalculate Fitness of Binary Vector
objective.keepEntropyCalculate Fitness of Binary Vector
objective.keepSKLCalculate Fitness of Binary Vector
objective.keepWADISTCalculate Fitness of Binary Vector
objective.maxDEntropyCalculate Fitness of Binary Vector
objective.maxDSKLCalculate Fitness of Binary Vector
objective.maxRDACalculate Fitness of Binary Vector
objective.maxRDA2Calculate Fitness of Binary Vector
packageCheckPackage Check
plot.amalgamPlot 'amalgam' Object
prepareArgsArgument Handler Function
print.amalgamShow 'amalgam' Object
randAcompCreate Random Acomp Data
randPoisCreate Random Poisson Data
shannonCalculate Shannon's Index
SKLCalculate Symmetric Kullback-Leibler divergence
SKL_slowCalculate Symmetric Kullback-Leibler divergence
uniformityCalculate a Normalized Shannon's Index
wadistCalculate Weighted Aitchison Distance
weight.Nto1Convert Bits to Weights Matrix
weight.NtoNConvert Bits to Weights Matrix
tpq/amalgam documentation built on March 14, 2020, 10:27 a.m.