Man pages for ldt
Automated Uncertainty Analysis

adjust_indices_after_removeAdjust Indices in a List
AIC.ldt.estimAkaike Information Criterion
BIC.ldt.estimBayesian Information Criterion
boxCoxTransformBox-Cox Transformation of Numeric Matrix
coef.ldt.estimExtract Coefficients Matrix
coefs.tableCreate Table of Coefficients
combine.searchCombine a List of 'ldt.search' Objects
data.berkaBerka and Sochorova (1993) Dataset for Loan Default
data.pcpIMF's Primary Commodity Prices
data.wdiLong-run Growth from World Development Indicator Dataset
endogenousExtract Endogenous Variable(s) Data
eqList2MatrixConvert a List of Equations to a Matrix
estim.binEstimate a Binary Choice Model
estim.binary.model.stringGet Model Name
estim.surEstimate a SUR Model
estim.varmaEstimate a VARMA Model
estim.varma.model.stringGet the Specification of an 'ldt.estim.varma' Model
exogenousExtract Exogenous Variable(s) Data
fan.plotFan Plot Function
fitted.ldt.estimExtract Fitted Data
get.combinationsDefine Combinations for Search Process
get.dataTransform and Prepare Data for Analysis
get.data.append.newXAppend 'newX' to 'data$data' matrix.
get.data.check.discreteCheck if a column is discrete
get.data.check.interceptCheck for an intercept in a matrix
get.data.keep.completeRemove Rows with Missing Observations from Data
get.indexationGet Numeric Indices in a Combination
get.options.lbfgsGet Options for L-BFGS Optimization
get.options.neldermeadOptions for Nelder-Mead Optimization
get.options.newtonGet Options for Newton Optimization
get.options.pcaGet Options for PCA
get.options.rocGet Options for ROC and AUC Calculations
get.search.itemsSpecify the Purpose of the Model Search Process
get.search.metricsGet Options for Measuring Performance
get.search.modelchecksSet Options to Exclude a Model Subset
get.search.optionsGet Extra Options for Model Search Process
get.varma.paramsSplit VARMA parameter into its Components
logLik.ldt.estimExtract Maximum Log-Likelihood
plot.ldt.estimPlot Diagnostics for 'ldt.estim' Object
plot.ldt.varma.predictionPlot Predictions from a VARMA model
predict.ldt.estimExtract Prediction Results
predict.ldt.estim.varmaExtract Prediction Results from a 'ldt.estim.varma' Object
print.ldt.estimPrints an 'ldt.estim' object
print.ldt.estim.projectionPrints an 'ldt.estim.projection' object
print.ldt.listPrints an 'ldt.list' object
print.ldt.searchPrints an 'ldt.search' object
print.ldt.varma.predictionPrints an 'ldt.varma.prediction' object
rand.mnormalGenerate Random Samples from a Multivariate Normal...
residuals.ldt.estimExtract Residuals Data
s.cluster.hHierarchical Clustering
s.cluster.h.groupGroup Variables with Hierarchical Clustering
s.combine.stats4Combine Mean, Variance, Skewness, and Kurtosis This function...
s.distanceGet the Distances Between Variables
search.binCreate a Model Set for Binary Choice Models
search.rfuncCreate a Model Set for an R Function
search.stepsStep-wise estimation
search.surCreate a Model Set for SUR Models
search.varmaCreate Model Set for VARMA Models
s.gld.density.quantileGLD Density-Quantile Function
s.gld.from.momentsGet the GLD Parameters from the moments
s.gld.quantileGLD Quantile Function
sim.binGenerate Random Sample from a DC Model
sim.surGenerate Random Sample from an SUR Model
sim.varmaGenerate Random Sample from a VARMA Model
s.metric.from.weightConvert a Weight to Metric
s.pcaPrincipal Component Analysis
s.rocGet ROC Curve Data for Binary Classification
summary.ldt.searchSummary for an 'ldt.search' object
summary.ldt.search.itemSummary for an 'ldt.search.item' object
s.weight.from.metricConvert a Metric to Weight
ldt documentation built on Sept. 11, 2024, 5:25 p.m.