# Automated Uncertainty Analysis

## Documentation for package ‘ldt’ version 0.3.2.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

coefs.plot | Plot Estimation Results
coefs.table | Create Table of Coefficients
combineSearch | Combine More Than One 'ldtsearch' Objects
estim.bin | Estimate a Discrete Choice Model
estim.sur | Estimate a SUR Model
estim.varma | Estimate a VARMA Model
fan.plot | Create a fan plot from a matrix of distribution parameters
get.items.modelcheck | Set Options to Exclude a Model Subset
get.items.search | Specify the Purpose of the Model Search Process
get.options.lbfgs | Get Options for L-BFGS Optimization
get.options.metric | Get Options for Measuring Performance
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.options.search | Get Extra Options for Model Search Process
get.varma.params | Split VARMA parameter into its Components
h.get.estim | Gets Estimation from Search Result
latex.matrix | Convert a matrix to LaTeX code
latex.variable.vector | Generate LaTeX code for a variable vector
print.ldtsearch | Prints the Output of a Search Process
rand.mnormal | Generate Random Samples from a Multivariate Normal Distribution
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 | Search for Best Discrete-Choice Models
search.bin.stepwise | Step-wise Search for Best Discrete-Choice Models
search.sur | Search for Best SUR Models
search.sur.stepwise | Step-wise Search for Best SUR Models
search.varma | Search for Best VARMA Models
search.varma.stepwise | Step-wise Search for Best VARMA Models
Search_s | Stepwise estimation
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.ldtsearch | Summarizes Model Search Output
to.data.frame | Get Data from Model Search Output
vig_data | Data for Vignettes (and Tests)