mle_alpha: Finds max likelihood of the inverse of the dispersion...
In cmhoove14/SchistoDynAgg: dynamic aggregation and helminthic disease elimination
Description
Usage
Arguments
Value
View source: R/dispersion_parameter_functions.R
Description
Finds the maximum likelihood estimate of the inverse of the dispersion parameter,
kappa, often denoted alpha, given a vector of egg or worm burdens. Assumes max likelihood
estimate of the mean of the negative binomial distribution is the empirical mean of the vector
Returns the message from 'optim' if convergence fails
Usage
1
mle_alpha(vec)
Arguments
vec
vector of individual egg or worm burden intensities
Value
max likelihood estimate of the dispersion parameter
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
Finds the maximum likelihood estimate of the inverse of the dispersion parameter, kappa, often denoted alpha, given a vector of egg or worm burdens. Assumes max likelihood estimate of the mean of the negative binomial distribution is the empirical mean of the vector Returns the message from 'optim' if convergence fails
Usage
1 | mle_alpha(vec)
|
Arguments
vec |
vector of individual egg or worm burden intensities |
Value
max likelihood estimate of the dispersion parameter
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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