polio: Polio Time Series

In gcmr: Gaussian Copula Marginal Regression

Polio Time Series

Description

Time series of Polio incidences in U.S.A. from 1970 to 1983.

Usage

data(polio)

Format

A data frame with the 168 monthly observations (from January 1970 to December 1983) with the following variables

y	time series of polio incidences.
t*10^( -3 )	linear trend multiplied by factor 10^{(-3)}.
cos( 2*pi*t/12 )	cosine annual seasonal component.
sin( 2*pi*t/12 )	sine annual seasonal component.
cos( 2*pi*t/6 )	cosine semi-annual seasonal component.
sin( 2*pi*t/6 )	sine semi-annual seasonal component.

Source

Zeger, S.L. (1988). A regression model for time series of counts. Biometrika 75, 822–835.

Examples

data(polio)

gcmr documentation built on July 18, 2022, 9:06 a.m.