Package: ldt
Title: Automated Uncertainty Analysis
Version: 0.3.2.1
Authors@R: c(
    person("Ramin", "Mojab", email = "rmojab63@gmail.com", role = c("aut", "cre")),
    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"))
Description: Methods and tools for model selection and multi-model inference (Burnham and Anderson (2002) <doi:10.1007/b97636>, among others). 
             'SUR' (for parameter estimation), 'logit'/'probit' (for binary classification), and 'VARMA' (for time-series forecasting) are implemented.
             Evaluations are both in-sample and out-of-sample. 
             It is designed to be efficient in terms of CPU usage and memory consumption.
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, tdata
Suggests: knitr, testthat, rmarkdown, kableExtra, moments, systemfit
LinkingTo: BH, Rcpp
Config/testthat/edition: 3
LazyData: true
NeedsCompilation: yes
Packaged: 2023-08-07 15:05:15 UTC; rmoja
Author: Ramin Mojab [aut, cre],
  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)
Maintainer: Ramin Mojab <rmojab63@gmail.com>
Repository: CRAN
Date/Publication: 2023-08-07 15:50:02 UTC
Built: R 4.3.1; aarch64-apple-darwin20.6.0; 2023-10-07 01:26:08 UTC; unix
