xdc.hist.mx: Getting the Histogram from a Mixture
In robustanalytics/xdc: Decomposing Gaussian mixture distributions into potentially overlapping components
Description
Usage
Arguments
Value
Description
This function supports an arbitrary number of
components. The returned probability vector
may not sum to 1. The remaining value
represents the probability falling outside
the range specified in the boundaries
Usage
1
xdc.hist.mx(boundaries, mxs)
Arguments
boundaries,
an array of (upper) bin
boundaries. This is usually obtained from
the histogram of observed data (xdc.hist.data)
mxs,
a data frame with three columns:
(mean, sd, weight), representing the mixture
composition
Value
a data frame with two columns:
x: same as input boundaries
p: probability for each bin
robustanalytics/xdc documentation built on Sept. 4, 2020, 12:37 a.m.
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Description Usage Arguments Value
Description
This function supports an arbitrary number of components. The returned probability vector may not sum to 1. The remaining value represents the probability falling outside the range specified in the boundaries
Usage
1 | xdc.hist.mx(boundaries, mxs)
|
Arguments
boundaries, |
an array of (upper) bin boundaries. This is usually obtained from the histogram of observed data (xdc.hist.data) |
mxs, |
a data frame with three columns: (mean, sd, weight), representing the mixture composition |
Value
a data frame with two columns:
x: same as input boundaries
p: probability for each bin
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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