Package: ldt
Title: Let Data Talk
Version: 0.2.0.0
Authors@R: c(
    person("Ramin", "Mojab", email = "rmojab63@gmail.com", role = c("aut", "cre")),
    person("Michael", "Hutt", role = c("cph"), comment = "MIT license. Original code for Nelder-Mead algorithm."),
    person("Stephen", "Becker", role = c("cph"), email = "stephen.becker@colorado.edu", comment = "BSD 3-clause license. Original code for L-BFGS-B algorithm. The L-BFGS-B algorithm was written in the 1990s (mainly 1994, some revisions 1996) by Ciyou Zhu (in collaboration with R.H. Byrd, P. Lu-Chen and J. Nocedal). L-BFGS-B Version 3.0 is an algorithmic update from 2011, with coding changes by J. L. Morales"),
    person("Math.NET", role = c("cph"), comment = "MIT license. Code from the 'Math.NET Numerics' library is used in calculating running statistics."))
Description: Methods and tools for creating a model set and estimating and evaluating the explanation or prediction power of its members. 
             'SUR' modelling (for parameter estimation), 'logit'/'probit' modelling (for binary classification), and 'VARMA' modelling (for time-series forecasting) are implemented.
             Evaluations are both in-sample and out-of-sample.
             It can be used for stepwise regression analysis <https://en.wikipedia.org/wiki/Stepwise_regression>, 
             automatic model selection and model averaging (Claeskens and Hjort (2008, ISBN:1139471805, 9781139471800)), 
             calculating benchmarks, and doing sensitivity analysis (Leamer (1983) <https://www.jstor.org/stable/1803924> proposal).
License: GPL (>= 3)
URL: https://github.com/rmojab63/LDT
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++17
RoxygenNote: 7.2.3
Depends: R (>= 3.5.0)
Imports: Rcpp, readxl, jsonlite
Suggests: knitr, testthat, rmarkdown, kableExtra, MASS
LinkingTo: BH, Rcpp
Config/testthat/edition: 3
LazyData: true
NeedsCompilation: yes
Packaged: 2023-02-25 17:19:24 UTC; rmoja
Author: Ramin Mojab [aut, cre],
  Michael Hutt [cph] (MIT license. Original code for Nelder-Mead
    algorithm.),
  Stephen Becker [cph] (BSD 3-clause license. Original code for L-BFGS-B
    algorithm. The L-BFGS-B algorithm was written in the 1990s (mainly
    1994, some revisions 1996) by Ciyou Zhu (in collaboration with R.H.
    Byrd, P. Lu-Chen and J. Nocedal). L-BFGS-B Version 3.0 is an
    algorithmic update from 2011, with coding changes by J. L. Morales),
  Math.NET [cph] (MIT license. Code from the 'Math.NET Numerics' library
    is used in calculating running statistics.)
Maintainer: Ramin Mojab <rmojab63@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-01 08:42:33 UTC
Built: R 4.1.2; x86_64-apple-darwin17.0; 2023-03-02 12:19:53 UTC; unix
Archs: ldt.so.dSYM
