Package: ConsReg
Type: Package
Title: Fits Regression & ARMA Models Subject to Constraints to the
        Coefficient
Version: 0.1.0
Author: Josep Puig Sallés
Maintainer: Josep Puig <puigjos@gmail.com>
Description: 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. 
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
RoxygenNote: 6.1.1
BugReports: https://github.com/puigjos/ConsReg/issues
URL: https://github.com/puigjos/ConsReg
Suggests: testthat, knitr, rmarkdown
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
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-04-03 18:54:39 UTC; jpuigsal
Repository: CRAN
Date/Publication: 2020-04-05 15:20:03 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-11-01 04:50:04 UTC; windows
Archs: x64
