alcohol

<p>A multivariate time series object containing the number of alcohol related
deaths and population sizes (divided by 100000) of Finland in four age groups.</p>

datasets

State space modelling is an efficient and flexible framework for
statistical inference of a broad class of time series and other data. KFAS
includes computationally efficient functions for Kalman filtering, smoothing,
forecasting, and simulation of multivariate exponential family state space models,
with observations from Gaussian, Poisson, binomial, negative binomial, and gamma
distributions. See the paper by Helske (2017) <doi:10.18637/jss.v078.i10> for details.

Jouni Helske

KFAS

Kalman Filter and Smoother for Exponential Family State Space
Models

alcohol function

<p>A multivariate time series object with 45 times 8 observations.</p>

alcohol: Alcohol related deaths in Finland 1969--2013

Description

Arguments

Format