# Ordinal Dominance Statistics

The following free r packages , r projects , r code , and r examples are used for Ordinal Dominance Statistics. Computes ordinal, statistics and effect sizes as an

The following free r packages , r projects , r code , and r examples are used for Quantile regression neural network. Fit a quantile regression neural network with optional
left censoring using a variant of the finite smoothing algorithm.

The following free r packages , r projects , r code , and r examples are used for Exact solution paths for regularized LASSO regressions with L_1 penalty. ExactPath implements an algorithm for exact LASSO solution.

The following free r packages , r projects , r code , and r examples are used for L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model. A path-following algorithm for L1 regularized generalized linear models and Cox proportional hazards model.

The following free r packages , r projects , r code , and r examples are used for R Functions for Solving Stoichiometric Equations.

The following free r packages , r projects , r code , and r examples are used for portfolio optimization strategies including random matrix theory and shrinkage estimators. Portfolio optimization typically requires an estimate of a covariance matrix of asset returns.

The following free r packages , r projects , r code , and r examples are used for Weighted Linear Fixed Effects Regression Models for Causal Inference. This R package provides a computationally efficient way of fitting weighted linear fixed effects estimators for causal inference with various weighting schemes.

The following free r packages , r projects , r code , and r examples are used for Monte Carlo Exact Tests for Log-linear models. Monte Carlo and MCMC goodness of fit tests for log-linear models

The following free r packages , r projects , r code , and r examples are used for Generate fractal time series with non-normal returns distribution. The basic principle driving fractal generation of time series is that data is generated iteratively based on increasing levels of resolution.

The following free r packages , r projects , r code , and r examples are used for Collection of functions for Gaussian quadrature. A collection of functions to perform Gaussian quadrature with different weight functions corresponding to the orthogonal polynomials in package orthopolynom.