S4 classes to store the event and accumulation times of archaeological assemblages.

Slots

data

A numeric matrix of count data.

dates

A numeric vector of dates.

model

A multiple linear model: the Gaussian multiple linear regression model fitted for event date estimation and prediction.

dimension

An integer vector giving the CA dimensions kept.

level

A length-one numeric vector giving the confidence level.

mcd

A three columns numeric matrix giving the Mean Ceramic Date for each archaeological assemblage, with the following columns:

date

The event date estimation.

lower

The lower boundary of the confidence interval.

upper

The upper boundary of the confidence interval.

row_events

A four columns numeric matrix giving the predicted event dates for each archaeological assemblage, with the following columns:

date

The event date estimation.

lower

The lower boundary of the confidence interval.

upper

The upper boundary of the confidence interval.

error

The standard error of predicted dates.

column_events

A four columns numeric matrix giving the predicted event dates for each archaeological type or fabric, with the following columns:

date

The event date estimation.

lower

The lower boundary of the confidence interval.

upper

The upper boundary of the confidence interval.

error

The standard error of predicted dates.

accumulation

A two columns numeric matrix giving the point estimate of the accumulation dates and the corresponding error.

Subset

x[[i]]

Extracts informations from a slot selected by subscript i. i is a length-one character vector. Returns the corresponding slot values.

See also

Author

N. Frerebeau