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ldt  

Automated Uncertainty Analysis
View on CRAN: Click here


Download and install ldt package within the R console
Install from CRAN:
install.packages("ldt")

Install from Github:
library("remotes")
install_github("cran/ldt")

Install by package version:
library("remotes")
install_version("ldt", "0.5.3")



Attach the package and use:
library("ldt")
Maintained by
Ramin Mojab
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-16
Latest Update: 2024-07-06
Description:
Methods and tools for model selection and multi-model inference (Burnham and Anderson (2002) , 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.
How to cite:
Ramin Mojab (2023). ldt: Automated Uncertainty Analysis. R package version 0.5.3, https://cran.r-project.org/web/packages/ldt. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:52), 0.1.1.0 (2023-01-16 11:30), 0.1.4.0 (2023-01-26 13:20), 0.2.0.0 (2023-03-01 09:42), 0.3.0.0 (2023-07-04 22:00), 0.3.1.0 (2023-07-07 15:30), 0.3.2.1 (2023-08-07 17:50), 0.4.2 (2023-10-21 08:40), 0.4.5 (2023-10-30 10:30), 0.5.0 (2023-11-07 16:20), 0.5.1 (2023-12-08 21:10), 0.5.2 (2023-12-21 10:00)
Other packages that cited ldt R package
View ldt citation profile
Other R packages that ldt depends, imports, suggests or enhances
Complete documentation for ldt
Functions, R codes and Examples using the ldt R package
Some associated functions: AIC.ldt.estim . BIC.ldt.estim . adjust_indices_after_remove . boxCoxTransform . coef.ldt.estim . coefs.table . combine.search . data.berka . data.pcp . data.wdi . endogenous . eqList2Matrix . estim.bin . estim.binary.model.string . estim.sur . estim.varma.model.string . estim.varma . exogenous . fan.plot . fitted.ldt.estim . get.combinations . get.data.append.newX . get.data.check.discrete . get.data.check.intercept . get.data.keep.complete . get.data . get.indexation . get.options.lbfgs . get.options.neldermead . get.options.newton . get.options.pca . get.options.roc . get.search.items . get.search.metrics . get.search.modelchecks . get.search.options . get.varma.params . logLik.ldt.estim . plot.ldt.estim . plot.ldt.varma.prediction . predict.ldt.estim . predict.ldt.estim.varma . print.ldt.estim . print.ldt.estim.projection . print.ldt.list . print.ldt.search . print.ldt.varma.prediction . rand.mnormal . residuals.ldt.estim . s.cluster.h.group . s.cluster.h . s.combine.stats4 . s.distance . s.gld.density.quantile . s.gld.from.moments . s.gld.quantile . s.metric.from.weight . s.pca . s.roc . s.weight.from.metric . search.bin . search.rfunc . search.steps . search.sur . search.varma . sim.bin . sim.sur . sim.varma . summary.ldt.search.item . summary.ldt.search . 
Some associated R codes: RcppExports.R . bin.R . data.R . g.plots.R . g.prints.R . g.regression.R . g.summary.R . helpers.R . ldt_init.R . options.R . r-func.R . search.R . statistics.R . steps.R . sur.R . varma.R .  Full ldt package functions and examples
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