input_model_poisson: input_model_poisson

Description Usage Arguments Value See Also

View source: R/input_model_poisson.R

Description

Poisson - Gamma model. Fits num_models Poisson distributions to a numerical vector (attribute).

Usage

1
input_model_poisson(data, num_models, prior)

Arguments

data

Numerical vector of data points.

num_models

Number of distributions to fit.

prior

List containing parameters of Gamma prior distribution for the rate of Poisson distribution. List has to contain attributes "a" and "b" being the shape and rate parameters.

Value

List of num_models S3 classes of type 'poisson' The class 'poisson' has the following methods defined: mean, sample and var.

See Also

Other input models: input_model_bernoulli, input_model_mvnormal_iw, input_model_normal_ig, input_model_normal


fortunar/matchForecast documentation built on May 27, 2019, 3:30 p.m.