GlobalTemp

<p>This data set contains two series of average global temperature deviations
for years 1880-1987. These series are same as used in Shumway and Stoffer
(2006), where they are known as HL and Folland series. For more details, see
Shumway and Stoffer (2006, p. 327).</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

GlobalTemp function

<p>A time series object containing 108 times 2 observations.</p>

GlobalTemp: Two series of average global temperature deviations for years 1880-1987

Description

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References