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ldt

Automated Uncertainty Analysis

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.

README

# LDT
Documents are provided in the R package.

# Copyrights
This product includes codes developed by others:
- Stephen Becker, stephen.becker@colorado.edu (This is the L-BFGS-B part of the code which is released under the BSD 3-clause license. 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).

This product also depends on Boost, BLAS, and LAPACK. Furthermore, The R package depends on R and on some 
other R packages which are documented in the DESCRIPTION file.

Versions across snapshots

VersionRepositoryFileSize
0.5.3 rolling linux/jammy R-4.5 ldt_0.5.3.tar.gz 1.9 MiB
0.5.3 rolling linux/noble R-4.5 ldt_0.5.3.tar.gz 1.9 MiB
0.5.3 rolling source/ R- ldt_0.5.3.tar.gz 1.0 MiB
0.5.3 latest linux/jammy R-4.5 ldt_0.5.3.tar.gz 1.9 MiB
0.5.3 latest linux/noble R-4.5 ldt_0.5.3.tar.gz 1.9 MiB
0.5.3 latest source/ R- ldt_0.5.3.tar.gz 1.0 MiB
0.5.3 2026-04-26 source/ R- ldt_0.5.3.tar.gz 1.0 MiB
0.5.3 2026-04-23 source/ R- ldt_0.5.3.tar.gz 1.0 MiB
0.5.3 2026-04-09 windows/windows R-4.5 ldt_0.5.3.zip 2.2 MiB
0.5.3 2025-04-20 source/ R- ldt_0.5.3.tar.gz 1.0 MiB

Dependencies (latest)

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