Description: Presents a "Scenarios" class containing

Title: Toolkit for the simulation of financial assets and interest
Author: Jean-Charles Croix, Thierry Moudiki, Frederic Planchet, Wassim Youssef
Description: Toolkit for Monte Carlo simulations of financial assets and
interest rates models, involved in an Economic Scenario Generator (ESG).
The underlying simulation loops have been implemented in C++.
Depends: CDVine, ggplot2, gridExtra, reshape2, ycinterextra

Title: Toolkit for Monte Carlo Simulations
Description: A toolkit for Monte Carlo Simulations in Finance, Economics, Insurance, Physics. Multiple simulation models can be created by combining building blocks provided in the package.
Collate: 'RcppExports.R' 'fwdrates.R' 'plots.R' 'simulations.R'

Title: Ensemble of Subset of K-Nearest Neighbours Classifiers for
Classification and Class Membership Probability Estimation
Author: Asma Gul, Aris Perperoglou, Zardad Khan, Osama Mahmoud, Werner Adler, Miftahuddin Miftahuddin, and Berthold Lausen
Description: Functions for classification and group membership probability estimation are given.
The issue of non-informative features in the data is addressed by utilizing the ensemble method.
A few optimal models are selected in the ensemble from an initially large set of base k-nearest neighbours (KNN) models, generated on subset of features from the training data.
A two stage assessment  is applied in selection of optimal models for the ensemble in the training function.
The prediction functions for classification and class membership probability estimation returns class outcomes and class membership probability estimates for the test data.
The package includes measure of classification error and brier score, for classification and probability estimation tasks respectively.

Title: Power Analysis and Sample Size Calculation
Description: The package allows for the Estimation of Sample-size and
Power by Exploring Simulated Study Outcomes. It supports
simulation-based power calculation for stand-alone case-control
studies and for case-control analyses nested in cohort studies,
that take account of realistic assessment error.