Movatterモバイル変換


[0]ホーム

URL:


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.

Version:0.5.3
Depends:R (≥ 3.5.0)
Imports:Rcpp,tdata,Rdpack (≥ 0.7),MASS
LinkingTo:BH,Rcpp
Suggests:knitr,testthat,rmarkdown,kableExtra,moments,systemfit
Published:2024-07-06
DOI:10.32614/CRAN.package.ldt
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 at gmail.com>
License:GPL (≥ 3)
URL:https://github.com/rmojab63/LDT
NeedsCompilation:yes
SystemRequirements:C++17
Materials:NEWS
CRAN checks:ldt results

Documentation:

Reference manual:ldt.html ,ldt.pdf
Vignettes:Binary Regression (loan default) (source,R code)
SUR (longrun output growth) (source,R code)
VARMA (commodity prices) (source,R code)

Downloads:

Package source: ldt_0.5.3.tar.gz
Windows binaries: r-devel:ldt_0.5.3.zip, r-release:ldt_0.5.3.zip, r-oldrel:ldt_0.5.3.zip
macOS binaries: r-release (arm64):ldt_0.5.3.tgz, r-oldrel (arm64):ldt_0.5.3.tgz, r-release (x86_64):ldt_0.5.3.tgz, r-oldrel (x86_64):ldt_0.5.3.tgz
Old sources: ldt archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ldtto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp