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.
Version: 0.1.0 Depends: R (≥ 3.5) Imports: data.table (≥ 1.10), forecast (≥ 8.0), rlang (≥ 0.4), nloptr (≥ 1.2), FME (≥ 1.3), MCMCpack (≥ 1.4), Rsolnp (≥ 1.15), DEoptim (≥ 2.2), dfoptim, GA (≥ 3.0), GenSA (≥ 1.1), Metrics, ggplot2, adaptMCMC, Rcpp Suggests: testthat, knitr, rmarkdown Published: 2020-04-05 DOI: 10.32614/CRAN.package.ConsReg Author: Josep Puig Sallés Maintainer: Josep Puig <puigjos at gmail.com> BugReports: https://github.com/puigjos/ConsReg/issues License: GPL-2 | GPL-3 URL: https://github.com/puigjos/ConsReg NeedsCompilation: yes Materials: README CRAN checks: ConsReg results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ConsReg to link to this page.
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