twCoefLogitnormMLEFlat: twCoefLogitnormMLEFlat
In logitnorm: Functions for the Logitnormal Distribution
Description
Usage
Arguments
Details
Author(s)
Description
Estimating coefficients of a maximally flat unimodal logitnormal distribution from mode
Usage
1
Arguments
mle
numeric vector: the mode of the density function
Details
When increasing the sigma parameter, the distribution becomes
eventually becomes bi-model, i.e. has two maxima.
This function estimates parameters for given mode, so that the distribution assigns high
density to a maximum range, i.e. is maximally flat, but still is unimodal.
Author(s)
Thomas Wutzler
logitnorm documentation built on Jan. 7, 2021, 9:09 a.m.
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Description Usage Arguments Details Author(s)
Description
Estimating coefficients of a maximally flat unimodal logitnormal distribution from mode
Usage
1 |
Arguments
mle |
numeric vector: the mode of the density function |
Details
When increasing the sigma parameter, the distribution becomes eventually becomes bi-model, i.e. has two maxima. This function estimates parameters for given mode, so that the distribution assigns high density to a maximum range, i.e. is maximally flat, but still is unimodal.
Author(s)
Thomas Wutzler
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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