func_mgamma_em: E and M steps for mixture of gamma distributions part of...
In camponsah/BivMixDist: Fit bivariate continous and discrete distributions as well as provide EM algorithm for discrete Pareto
Description
Usage
Arguments
Value
Description
This function computes the beta and q of FMBEG distribution.
Usage
1
func_mgamma_em(data, beta, q, m)
Arguments
data
data-vector from FMBEG distribution.
beta
numeric parameters, which must be numeric greater than 0.
q
vector of gamma membership probabilities between 0 and 1, and sum equal to 1
m
number of gamma components.
Value
list containing parameter estimates of p and pi
camponsah/BivMixDist documentation built on Nov. 15, 2021, 3:11 a.m.
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Description Usage Arguments Value
Description
This function computes the beta and q of FMBEG distribution.
Usage
1 | func_mgamma_em(data, beta, q, m)
|
Arguments
data |
data-vector from FMBEG distribution. |
beta |
numeric parameters, which must be numeric greater than 0. |
q |
vector of gamma membership probabilities between 0 and 1, and sum equal to 1 |
m |
number of gamma components. |
Value
list containing parameter estimates of p and pi
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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