Depends: R (>= 2.0), parallel, forecast, tseries

Description: Routines for forecasting univariate time series using Theta Models.

Title: Forecasting functions for time series
Description: Methods and tools for displaying and analysing univariate
time series forecasts including exponential smoothing via state
space models and automatic ARIMA modelling.
Depends: R (>= 2.0.0), graphics, stats, tseries

Depends: R (>= 2.0.0), graphics, stats, tseries, fracdiff

Depends: R (>= 2.0.0), graphics, stats, tseries, fracdiff, zoo

Description: Methods and tools for displaying and analysing
univariate time series forecasts including exponential smoothing
via state space models and automatic ARIMA modelling.

Depends: R (>= 2.0.0), graphics, stats, tseries, fracdiff, zoo, Rcpp

Depends: R (>= 2.0.0), graphics, stats, parallel, tseries, fracdiff,
Author: Rob J Hyndman <Rob.Hyndman@monash.edu> with contributions from Slava Razbash

Depends: R (>= 2.14.0), graphics, stats, parallel, tseries, fracdiff,

Author: Rob J Hyndman <Rob.Hyndman@monash.edu> with contributions from

Title: Forecasting functions for time series and linear models

zoo, Rcpp (>= 0.9.10), RcppArmadillo (>= 0.2.35), colorspace,
George Athanasopoulos, Slava Razbash, Drew Schmidt and Zhenyu

Imports: tseries, fracdiff, zoo, Rcpp (>= 0.9.10), RcppArmadillo (>=
George Athanasopoulos, Slava Razbash, Drew Schmidt, Zhenyu Zhou

George Athanasopoulos, Slava Razbash, Drew Schmidt, Zhenyu

George Athanasopoulos, Slava Razbash, Drew Schmidt, Zhenyu Zhou, Yousaf Khan, Christoph Bergmeir

Depends: R (>= 3.0.2), stats, graphics, zoo
Imports: tseries, fracdiff, Rcpp (>= 0.9.10), RcppArmadillo (>=
0.2.35), nnet, colorspace, parallel, timeDate
LinkingTo: Rcpp, RcppArmadillo (>= 0.2.35)
George Athanasopoulos, Slava Razbash, Drew Schmidt, Zhenyu Zhou, Yousaf Khan, Christoph Bergmeir, Earo Wang

Depends: R (>= 3.0.2), stats, graphics, zoo, timeDate
Imports: tseries, fracdiff, Rcpp (>= 0.11.0), RcppArmadillo (>=
LinkingTo: Rcpp (>= 0.11.0), RcppArmadillo (>= 0.2.35)

Imports: tseries, fracdiff, Rcpp (>= 0.11.0), nnet, colorspace,