AIC.ldt.estim           Akaike Information Criterion
BIC.ldt.estim           Bayesian Information Criterion
adjust_indices_after_remove
                        Adjust Indices in a List
boxCoxTransform         Box-Cox Transformation of Numeric Matrix
coef.ldt.estim          Extract Coefficients Matrix
coefs.table             Create Table of Coefficients
combine.search          Combine a List of 'ldt.search' Objects
data.berka              Berka and Sochorova (1993) Dataset for Loan
                        Default
data.pcp                IMF's Primary Commodity Prices
data.wdi                Long-run Growth from World Development
                        Indicator Dataset
endogenous              Extract Endogenous Variable(s) Data
eqList2Matrix           Convert a List of Equations to a Matrix
estim.bin               Estimate a Binary Choice Model
estim.binary.model.string
                        Get Model Name
estim.sur               Estimate a SUR Model
estim.varma             Estimate a VARMA Model
estim.varma.model.string
                        Get the Specification of an 'ldt.estim.varma'
                        Model
exogenous               Extract Exogenous Variable(s) Data
fan.plot                Fan Plot Function
fitted.ldt.estim        Extract Fitted Data
get.combinations        Define Combinations for Search Process
get.data                Transform and Prepare Data for Analysis
get.data.append.newX    Append 'newX' to 'data$data' matrix.
get.data.check.discrete
                        Check if a column is discrete
get.data.check.intercept
                        Check for an intercept in a matrix
get.data.keep.complete
                        Remove Rows with Missing Observations from Data
get.indexation          Get Numeric Indices in a Combination
get.options.lbfgs       Get Options for L-BFGS Optimization
get.options.neldermead
                        Options for Nelder-Mead Optimization
get.options.newton      Get Options for Newton Optimization
get.options.pca         Get Options for PCA
get.options.roc         Get Options for ROC and AUC Calculations
get.search.items        Specify the Purpose of the Model Search Process
get.search.metrics      Get Options for Measuring Performance
get.search.modelchecks
                        Set Options to Exclude a Model Subset
get.search.options      Get Extra Options for Model Search Process
get.varma.params        Split VARMA parameter into its Components
logLik.ldt.estim        Extract Maximum Log-Likelihood
plot.ldt.estim          Plot Diagnostics for 'ldt.estim' Object
plot.ldt.varma.prediction
                        Plot Predictions from a VARMA model
predict.ldt.estim       Extract Prediction Results
predict.ldt.estim.varma
                        Extract Prediction Results from a
                        'ldt.estim.varma' Object
print.ldt.estim         Prints an 'ldt.estim' object
print.ldt.estim.projection
                        Prints an 'ldt.estim.projection' object
print.ldt.list          Prints an 'ldt.list' object
print.ldt.search        Prints an 'ldt.search' object
print.ldt.varma.prediction
                        Prints an 'ldt.varma.prediction' object
rand.mnormal            Generate Random Samples from a Multivariate
                        Normal Distribution
residuals.ldt.estim     Extract Residuals Data
s.cluster.h             Hierarchical Clustering
s.cluster.h.group       Group Variables with Hierarchical Clustering
s.combine.stats4        Combine Mean, Variance, Skewness, and Kurtosis
                        This function combines two sets of mean,
                        variance, skewness, and kurtosis and generates
                        the combined statistics.
s.distance              Get the Distances Between Variables
s.gld.density.quantile
                        GLD Density-Quantile Function
s.gld.from.moments      Get the GLD Parameters from the moments
s.gld.quantile          GLD Quantile Function
s.metric.from.weight    Convert a Weight to Metric
s.pca                   Principal Component Analysis
s.roc                   Get ROC Curve Data for Binary Classification
s.weight.from.metric    Convert a Metric to Weight
search.bin              Create a Model Set for Binary Choice Models
search.rfunc            Create a Model Set for an R Function
search.steps            Step-wise estimation
search.sur              Create a Model Set for SUR Models
search.varma            Create Model Set for VARMA Models
sim.bin                 Generate Random Sample from a DC Model
sim.sur                 Generate Random Sample from an SUR Model
sim.varma               Generate Random Sample from a VARMA Model
summary.ldt.search      Summary for an 'ldt.search' object
summary.ldt.search.item
                        Summary for an 'ldt.search.item' object
