Automated Uncertainty Analysis R package ldt version 0.5.3 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. Software Depends: R (>= 3.5.0) Imports: Rcpp, tdata, Rdpack (>= 0.7), MASS LinkingTo: BH, Rcpp Suggests: knitr, testthat, rmarkdown, kableExtra, moments, systemfit Ramin Mojab <rmojab63@gmail.com> Comprehensive R Archive Network (CRAN) 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) GPL (>= 3) 2024-07-06 application/tgz https://CRAN.R-project.org/package=ldt doi:10.32614/CRAN.package.ldt