BinProb4Mixtures {DistributionOptimization} | R Documentation |
Bin Probabilities
Description
Calculates the probability of bins/intervals within the dataspace defined by given breaks between them.
Usage
BinProb4Mixtures(Means, SDs, Weights, Breaks, IsLogDistribution = rep(F,
length(Means)), LimitsAreFinite = T)
Arguments
Means |
Means of the GMM Components |
SDs |
Standard Deviations of the GMM Components |
Weights |
Weights of the GMM Components |
Breaks |
Breaks Defining c-1 or c+1 bins (depending on LimitsAreFinite) |
IsLogDistribution |
If True, the GMM is interpreted as a logarithmic |
LimitsAreFinite |
If True, there are c+1 Bins, where the first and last bin are of inifinite size |
Value
Probabalities of either c-1 or c+1 bins/intervals (depending on LimitsAreFinite)
Author(s)
Florian Lerch
Examples
Data = c(rnorm(50,1,2), rnorm(50,3,4))
NoBins = 20
breaks = seq(min(Data),max(Data), length.out=length(NoBins)+1)
BinProb4Mixtures(c(1,3), c(2,4), c(0.5,0.5), breaks)
[Package DistributionOptimization version 1.2.6 Index]