plot.Dimora: Plot method for Dimora models

In DIMORA: Diffusion Models R Analysis

Plot method for Dimora models

Description

Plot method for the DIMORA package models.

Usage

## S3 method for class 'Dimora'
plot(x,..., type = c('all','res','fit'), oos = 0)

Arguments

x	an object of class Dimora.
type	specifies the type of plot. Default setting is 'all': 'fit' returns the cumulative and instantaneous fit of the model; 'res' returns the 'Residuals VS Time' graphic and the ACF of the residuals of the model; 'all' returns the two types before combined in an unique graphical window.
oos	positive integer value: number of predictions after the last observed one. If specified, it also determines the xlim for the plots. It only works for univariate models.
...	other graphics parameters.

Author(s)

• Zanghi Federico: [e-mail]

  • https://www.linkedin.com/in/federico-zanghi-75512b165/

  • https://github.com/federicozanghi

• Savio Andrea: [e-mail]

  • https://www.linkedin.com/in/andrea-savio-51861b191/

• Ziliotto Filippo: [e-mail]

  • https://www.linkedin.com/in/FilippoZiliottoDev/

• Bessi Alessandro: [e-mail]

  • https://www.linkedin.com/in/alessandro-bessi-419812194/

See Also

The Dimora models: BM, GBM, GGM, UCRCD.

summary.Dimora for summaries.

predict.Dimora for prediction.

make.instantaneous to create instantaneous series from the cumulative one.

Examples

data(DBdimora)
iphone <- DBdimora$iPhone[7:52]
Gd <- DBdimora$Gdenmark[1:36]
Rd <- DBdimora$Rdenmark[13:36]

## Plot with univariate model
M1 <- BM(iphone,display = FALSE)
plot.Dimora(M1,type='all',oos = 20)

## Plot with multivariate model
M8 <- UCRCD(Gd,Rd)
plot.Dimora(M8,type='fit')

DIMORA documentation built on Oct. 7, 2023, 5:07 p.m.