alpha_likelihood: Custom max likelihood function for dispersion parameter
In cmhoove14/SchistoDynAgg: dynamic aggregation and helminthic disease elimination
Description
Usage
Arguments
Value
View source: R/dispersion_parameter_functions.R
Description
Estimates the likelihood of a vector of egg counts with negative binomial distribution
fixed mean and inverse of the dispersion parameter, kappa, frequently denoted alpha
can be used in conjunction with an opimizer function to find max likelihood of the
dispersion parameter, implemented here in the 'mle_kap' function
Usage
1
alpha_likelihood(alpha, vec)
Arguments
alpha
value of the inverse of the dispersion parameter, kappa
vec
vector of individual egg or worm burden intensities
Value
estimate of the negative log likelihood
cmhoove14/SchistoDynAgg documentation built on Dec. 14, 2021, 2:12 p.m.
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Description Usage Arguments Value
View source: R/dispersion_parameter_functions.R
Description
Estimates the likelihood of a vector of egg counts with negative binomial distribution fixed mean and inverse of the dispersion parameter, kappa, frequently denoted alpha can be used in conjunction with an opimizer function to find max likelihood of the dispersion parameter, implemented here in the 'mle_kap' function
Usage
1 | alpha_likelihood(alpha, vec)
|
Arguments
alpha |
value of the inverse of the dispersion parameter, kappa |
vec |
vector of individual egg or worm burden intensities |
Value
estimate of the negative log likelihood
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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