All packages

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k5 — 0.2.1

Kiernan Nicholls Miscellaneous

kableExtra — 1.4.0

Construct Complex Table with 'kable' and Pipe Syntax

kader — 0.0.8

Kernel Adaptive Density Estimation and Regression

kaigiroku — 0.5

Programmatic Access to the API for Japanese Diet Proceedings

kairos — 2.1.1

Analysis of Chronological Patterns from Archaeological Count Data

kalmanfilter — 2.1.1

Kalman Filter

kamila — 0.1.2

Methods for Clustering Mixed-Type Data

kangar00 — 1.4.2

Kernel Approaches for Nonlinear Genetic Association Regression

kanjistat — 0.14.1

A Statistical Framework for the Analysis of Japanese Kanji Characters

kantorovich — 3.2.0

Kantorovich Distance Between Probability Measures

kaos — 0.1.2

Encoding of Sequences Based on Frequency Matrix Chaos Game Representation

kaphom — 0.3

Test the Homogeneity of Kappa Statistics

kappaGold — 0.3.2

Agreement of Nominal Scale Raters with a Gold Standard

KappaGUI — 2.0.2

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

kappalab — 0.4-12

Non-Additive Measure and Integral Manipulation Functions

kappaSize — 1.2

Sample Size Estimation Functions for Studies of Interobserver Agreement

KaradaColor — 0.1.5

Color Palettes Inspired by Japanese Landscape and Culture

karaoke — 2.0

Remove Vocals from a Song

karel — 0.1.1

Learning programming with Karel the robot

Karen — 1.0

Kalman Reaction Networks

karlen — 0.0.2

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

KarsTS — 2.4.1

An Interface for Microclimate Time Series Analysis

karyotapR — 1.0.1

DNA Copy Number Analysis for Genome-Wide Tapestri Panels

katex — 1.5.0

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

kayadata — 1.4.0

Kaya Identity Data for Nations and Regions

kazaam — 0.1-0

Tools for Tall Distributed Matrices

kbal — 0.1.1

Kernel Balancing

KbMvtSkew — 1.0.2

Khattree-Bahuguna's Univariate and Multivariate Skewness

kcmeans — 0.1.0

Conditional Expectation Function Estimation with K-Conditional-Means

Kcop — 1.0.0

Smooth Test for Equality of Copulas and Clustering Multivariate

kcpRS — 1.1.1

Kernel Change Point Detection on the Running Statistics

KCSKNNShiny — 0.1.0

K-Nearest Neighbour Classifier

KCSNBShiny — 0.1.0

Naive Bayes Classifier

kde1d — 1.0.7

Univariate Kernel Density Estimation

kdecopula — 0.9.2

Kernel Smoothing for Bivariate Copula Densities

kdensity — 1.1.0

Kernel Density Estimation with Parametric Starts and Asymmetric Kernels

kdevine — 0.4.5

Multivariate Kernel Density Estimation with Vine Copulas

kDGLM — 1.2.0

Bayesian Analysis of Dynamic Generalized Linear Models

kdist — 0.2

K-Distribution and Weibull Paper

kdml — 1.1.0

Kernel Distance Metric Learning for Mixed-Type Data

kdry — 0.0.2

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

kedd — 1.0.4

Kernel Estimator and Bandwidth Selection for Density and Its Derivatives

keep — 1.0

Arrays with Better Control over Dimension Dropping

kehra — 0.1

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

kelvin — 2.0-2

Calculate Solutions to the Kelvin Differential Equation using Bessel Functions

Kendall — 2.2.1

Kendall Rank Correlation and Mann-Kendall Trend Test

kendallknight — 0.4.0

Efficient Implementation of Kendall's Correlation Coefficient Computation

kendallRandomWalks — 0.9.4

Simulate and Visualize Kendall Random Walks and Related Distributions

Keng — 2024.11.25

Knock Errors Off Nice Guesses

KenSyn — 0.3

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

KEPTED — 0.2.0

Kernel-Embedding-of-Probability Test for Elliptical Distribution

kequate — 1.6.4

The Kernel Method of Test Equating

keras — 2.15.0

R Interface to 'Keras'

keras3 — 1.2.0

R Interface to 'Keras'

kerastuneR — 0.1.0.7

Interface to 'Keras Tuner'

kerDAA — 0.1.1

New Kernel-Based Test for Differential Association Analysis

KERE — 1.0.0

Expectile Regression in Reproducing Kernel Hilbert Space

kergp — 0.5.8

Gaussian Process Laboratory

kerndwd — 2.0.3

Distance Weighted Discrimination (DWD) and Kernel Methods

kernelboot — 0.1.10

Smoothed Bootstrap and Random Generation from Kernel Densities

kernelFactory — 0.3.0

Kernel Factory: An Ensemble of Kernel Machines

Kernelheaping — 2.3.0

Kernel Density Estimation for Heaped and Rounded Data

KernelKnn — 1.1.5

Kernel k Nearest Neighbors

kernelshap — 0.7.0

Kernel SHAP

kernhaz — 0.1.0

Kernel Estimation of Hazard Function in Survival Analysis

kernlab — 0.9-33

Kernel-Based Machine Learning Lab

kernplus — 0.1.2

A Kernel Regression-Based Multidimensional Wind Turbine Power Curve

kernscr — 1.0.6

Kernel Machine Score Test for Semi-Competing Risks

KernSmooth — 2.23-24

Functions for Kernel Smoothing Supporting Wand & Jones (1995)

KernSmoothIRT — 6.4

Nonparametric Item Response Theory

kernstadapt — 0.4.0

Adaptive Kernel Estimators for Point Process Intensities on Linear Networks

kerntools — 1.1.0

Kernel Functions and Tools for Machine Learning Applications

kerSeg — 1.1

New Kernel-Based Change-Point Detection

kerTests — 0.1.4

Generalized Kernel Two-Sample Tests

kesernetwork — 0.1.0

Visualization of the KESER Network

keyATM — 0.5.2

Keyword Assisted Topic Models

Keyboard — 0.1.3

Bayesian Designs for Early Phase Clinical Trials

KeyboardSimulator — 2.6.2

Keyboard and Mouse Input Simulation for Windows OS

keyholder — 0.1.7

Store Data About Rows

keyperm — 0.1.1

Keyword Analysis Using Permutation Tests

keyplayer — 1.0.4

Locating Key Players in Social Networks

keypress — 1.3.1

Wait for a Key Press in a Terminal

keyring — 1.3.2

Access the System Credential Store from R

keyringr — 0.4.0

Decrypt Passwords from Gnome Keyring, Windows Data Protection API and macOS Keychain

keys — 0.1.1

Keyboard Shortcuts for 'shiny'

keyToEnglish — 0.2.1

Convert Data to Memorable Phrases

kfa — 0.2.2

K-Fold Cross Validation for Factor Analysis

KFAS — 1.5.1

Kalman Filter and Smoother for Exponential Family State Space Models

kfda — 1.0.0

Kernel Fisher Discriminant Analysis

kfigr — 1.2.1

Integrated Code Chunk Anchoring and Referencing for R Markdown Documents

kfino — 1.0.0

Kalman Filter for Impulse Noised Outliers

KFPCA — 2.0

Kendall Functional Principal Component Analysis

KFPLS — 1.0

Kernel Functional Partial Least Squares

kgc — 1.0.0.2

Koeppen-Geiger Climatic Zones

kgen — 0.3.1

A Tool for Calculating Stoichiometric Equilibrium Constants (Ks) for Seawater

KGode — 1.0.4

Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations

kgp — 1.1.1

1000 Genomes Project Metadata

kgrams — 0.2.1

Classical k-gram Language Models

kgraph — 1.0.0

Knowledge Graphs Constructions and Visualizations

kgschart — 1.3.5

KGS Rank Graph Parser

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