series

datasets

Fits or generalized linear models either a regression with Autoregressive moving-average (ARMA) errors for time series data.
The package makes it easy to incorporate constraints into the model's coefficients.
The model is specified by an objective function (Gaussian, Binomial or Poisson) or an ARMA order (p,q),
a vector of bound constraints
for the coefficients (i.e beta1 > 0) and the possibility to incorporate restrictions
among coefficients (i.e beta1 > beta2).
The references of this packages are the same as 'stats' package for glm() and arima() functions.
See Brockwell, P. J. and Davis, R. A. (1996, ISBN-10: 9783319298528).
For the different optimizers implemented, it is recommended to consult the documentation of the corresponding packages.

Josep Puig

ConsReg

series: Fake data for time series

Description

Usage

Arguments

Format