MultDirichletResample: Multinomial Dirichlet Sampler
In jsilve24/TeacupCerberus: Bayesian Estimation of Covariation Between and Within Two Multivariate Count Datasets
Description
Usage
Arguments
Value
Description
Multinomial Dirichlet Sampler
Usage
1
MultDirichletResample(Y, alpha = rep(0.65, nrow(Y)), n_samples = 2000)
Arguments
Y
count data (D x N) (e.g., taxa x samples)
alpha
D-vector of Dirichlet Prior parameters
n_samples
number of posterior samples to collect
Value
Posterior samples as array of dimensions: D x N x n_samples
jsilve24/TeacupCerberus documentation built on Nov. 4, 2019, 3:25 p.m.
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Description Usage Arguments Value
Description
Multinomial Dirichlet Sampler
Usage
1 | MultDirichletResample(Y, alpha = rep(0.65, nrow(Y)), n_samples = 2000)
|
Arguments
Y |
count data (D x N) (e.g., taxa x samples) |
alpha |
D-vector of Dirichlet Prior parameters |
n_samples |
number of posterior samples to collect |
Value
Posterior samples as array of dimensions: D x N x n_samples
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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