polyaGradient: Obtain gradient of the marginal Dirichlet-multinomial...
In fabPrediction: Compute FAB (Frequentist and Bayes) Conformal Prediction Intervals
View source: R/polyaGradient.R
polyaGradient R Documentation
Obtain gradient of the marginal Dirichlet-multinomial likelihood
Description
Obtain gradient of the marginal Dirichlet-multinomial likelihood
Usage
polyaGradient(D, gamma, Nj = rowSums(D), K = ncol(D))
Arguments
D
matrix (JxK) of counts; each row is a sample from a MN distribution with K categories
gamma
current value of prior concentration parameter
Nj
sample sizes of the J groups
K
number of categories
Value
gradient
fabPrediction documentation built on May 29, 2024, 7:05 a.m.
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View source: R/polyaGradient.R
| polyaGradient | R Documentation |
Obtain gradient of the marginal Dirichlet-multinomial likelihood
Description
Obtain gradient of the marginal Dirichlet-multinomial likelihood
Usage
polyaGradient(D, gamma, Nj = rowSums(D), K = ncol(D))
Arguments
D |
matrix (JxK) of counts; each row is a sample from a MN distribution with K categories |
gamma |
current value of prior concentration parameter |
Nj |
sample sizes of the J groups |
K |
number of categories |
Value
gradient
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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