rPackages

Human and Machine-Readable Justifications and Justified Decisions Based on 'YAML'

Justifying Alpha Levels for Hypothesis Tests

Principal Component Analysis (PCA) and Whitening

Value at Risk

Miscellaneous Utilities and Functions

Kiernan Nicholls Miscellaneous

Construct Complex Table with 'kable' and Pipe Syntax

Kernel Adaptive Density Estimation and Regression

Programmatic Access to the API for Japanese Diet Proceedings

Analysis of Chronological Patterns from Archaeological Count Data

Kalman Filter

Methods for Clustering Mixed-Type Data

Kernel Approaches for Nonlinear Genetic Association Regression

A Statistical Framework for the Analysis of Japanese Kanji Characters

Kantorovich Distance Between Probability Measures

Encoding of Sequences Based on Frequency Matrix Chaos Game Representation

Test the Homogeneity of Kappa Statistics

Agreement of Nominal Scale Raters (with a Gold Standard)

An R-Shiny Application for Calculating Cohen's and Fleiss' Kappa

Non-Additive Measure and Integral Manipulation Functions

Sample Size Estimation Functions for Studies of Interobserver Agreement

Color Palettes Inspired by Japanese Landscape and Culture

Remove Vocals from a Song

Learning programming with Karel the robot

Kalman Reaction Networks

Real-Time PCR Data Sets by Karlen et al. (2007)

An Interface for Microclimate Time Series Analysis

DNA Copy Number Analysis for Genome-Wide Tapestri Panels

Rendering Math to HTML, 'MathML', or R-Documentation Format

Kaya Identity Data for Nations and Regions

Tools for Tall Distributed Matrices

Khattree-Bahuguna's Univariate and Multivariate Skewness

Conditional Expectation Function Estimation with K-Conditional-Means

Smooth Test for Equality of Copulas and Clustering Multivariate

Kernel Change Point Detection on the Running Statistics

K-Nearest Neighbour Classifier

Naive Bayes Classifier

Univariate Kernel Density Estimation

Kernel Smoothing for Bivariate Copula Densities

Kernel Density Estimation with Parametric Starts and Asymmetric Kernels

Multivariate Kernel Density Estimation with Vine Copulas

Bayesian Analysis of Dynamic Generalized Linear Models

K-Distribution and Weibull Paper

Kernel Distance Metric Learning for Mixed-Type Data

Fast Multidimensional Entropy Estimation by k-d Partitioning

K's "Don't Repeat Yourself"-Collection

Kernel Estimator and Bandwidth Selection for Density and Its Derivatives

Arrays with Better Control over Dimension Dropping

Collect, Assemble and Model Air Pollution, Weather and Health Data

Calculate Solutions to the Kelvin Differential Equation using Bessel Functions

Kendall Rank Correlation and Mann-Kendall Trend Test

Simulate and Visualize Kendall Random Walks and Related Distributions

Knock Errors Off Nice Guesses

Knowledge Synthesis in Agriculture - From Experimental Network to Meta-Analysis

Kernel-Embedding-of-Probability Test for Elliptical Distribution

The Kernel Method of Test Equating

R Interface to 'Keras'

R Interface to 'Keras'

Interface to 'Keras Tuner'

New Kernel-Based Test for Differential Association Analysis

Expectile Regression in Reproducing Kernel Hilbert Space

Gaussian Process Laboratory

Distance Weighted Discrimination (DWD) and Kernel Methods

Smoothed Bootstrap and Random Generation from Kernel Densities

Kernel Factory: An Ensemble of Kernel Machines

Kernel Density Estimation for Heaped and Rounded Data

Kernel k Nearest Neighbors

Kernel SHAP

Kernel Estimation of Hazard Function in Survival Analysis

Kernel-Based Machine Learning Lab

A Kernel Regression-Based Multidimensional Wind Turbine Power Curve