Construct Complex Table with 'kable' and Pipe Syntax

Kernel Approaches for Nonlinear Genetic Association Regression

Package to identify and sort genes overexpressed

Kantorovich Distance Between Probability Measures

GUI for Cohen's and Fleiss' Kappa

Non-Additive Measure and Integral Manipulation Functions

Sample Size Estimation Functions for Studies of Interobserver Agreement

Calculates "vectorial Kappa", an index of congruence between patchy mosaics.

K-Adaptive Partitioning for Survival data

Remove Vocals from a Song

An Interface for Karstic Time Series

Kinetic analysis and visualization of DCE-MRI data.

kbest: Finds K best paths in a given graph.

k-Cube Thurstonian IRT Models

Multi sample aCGH analysis package using kernel convolution

Kernel Smoothing for Bivariate Copula Densities

Nonparametric method for identifying discordant phylogenetic trees

Multivariate Kernel Density Estimation with Vine Copulas

Kernel-Based Analysis Of Biological Sequences

Kernel Estimator and Bandwidth Selection for Density and Its Derivatives

Arrays with Better Control over Dimension Dropping

A set of annotation maps for KEGG

KEGGgraph: A graph approach to KEGG PATHWAY in R and Bioconductor

graph support for KO, KEGG Orthology

An annotation and visualization package for multi-types and multi-groups expression data in KEGG pathway

Client-side REST access to KEGG

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

Kernel-Smoothed Nonparametric Methods for Environmental Exposure Data Subject to Detection Limits

The Kernel Method of Test Equating

R Interface to the Keras Deep Learning Library

Nonparametric kernel estimation of the distribution function. Bandwidth selection and estimation of related functions.

Expectile Regression in Reproducing Kernel Hilbert Space

Gaussian Process Laboratory

Kernel Deep Stacking Networks

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-Based Machine Learning Lab

A Kernel Regression-Based Multidimensional Wind Turbine Power Curve

Kernel Machine Score Test for Semi-Competing Risks

Functions for Kernel Smoothing Supporting Wand & Jones (1995)

Nonparametric Item Response Theory

Locating Key Players in Social Networks

Wait for a Key Press in a Terminal

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

Kalman Filter and Smoother for Exponential Family State Space Models

Integrated Code Chunk Anchoring and Referencing for R Markdown Documents

Kalman Filter, Smoother and Disturbance Smoother

KGS Rank Graph Parser

DKFZ kidney package

Kirill's Miscellaneous Functions

A k-tables approach to integrate multiple Omics-Data

Analysis of Kin-Cohort Studies

Framework for the Analysis of Kinetic Visual Field Data

Routines for Fitting Kinetic Models to Chemical Degradation Data

An Implementation of 'kinn' Algorithm, a Graph Based Regression Model

Pedigree Functions

kintone REST client package for R

Example Data from the Multi-Modal MRI Reproducibility Resource

Example Functional Imaging Data from the Multi-Modal MRI Reproducibility Resource

Example T1 Structural Data from the Multi-Modal MRI Reproducibility Resource

Spectral response of water wells to harmonic strain and pressure

Weighted k-Nearest Neighbors

Classification and visualization

Multiple Choice Test Evaluation

Linear equations with Kronecker structure

Confidence intervals for the Kaplan-Meier estimator

Kaplan-Meier Estimator with Constraints for Right Censored Data -- a Recursive Computational Algorithm

Kaplan-Meier Simultaneous Confidence Band for the Survivor Function

'Yinyang' K-Means and K-NN using NVIDIA CUDA

Kernel-Based Metabolite Differential Analysis

Distributed k-Means for Big Data using 'ddR' API

Kaplan-Meier Multiple Imputation for the Analysis of Cumulative Incidence Functions in the Competing Risks Setting

Kevin Miscellaneous

K-Means for Longitudinal Data

K-Means for Joint Longitudinal Data

Clustering longitudinal data using the likelihood as a metric of distance

K-Means for Longitudinal Data using Shape-Respecting Distance

K-Means with Simultaneous Outlier Detection

Data sets from Klein and Moeschberger (1997), Survival Analysis

Generate Feasible Samples of a Knapsack Problem

Citations for 'Knitr' Markdown Files

'Knitr' Helpers - Mostly Tables

A General-Purpose Package for Dynamic Report Generation in R

Knitr Bootstrap Framework

Multi-distance based k-Nearest Neighbors

Independence tests and benchmarks

Knockoff Filter for Controlling the False Discovery Rate

Microarray Data From Multiple Biologically Interrelated Experiments

Knot Diagrams using Bezier Curves

Discriminating Well Surveyed Spatial Units from Exhaustive Biodiversity Databases

R Client for 'kintone' API

Tools for the provision of scientific fisheries management advice

Knowledge Discovery by Accuracy Maximization

A Genetic Algorithm for Fixed-Size Subset Selection

Functional Summary and Meta-Analysis of Gene Expression Data

Supervised and Unsupervised Self-Organising Maps

R Interface to e-Stat API

An Improved Evaluation of Kolmogorov's Distribution

Korean NLP Package

An R Package for Text Analysis

Koul's Minimum Distance Estimation in Linear Regression and Autoregression Model by Coordinate Descent Algorithm

Cubic Spline Fitting with Knot Selection

Kernel PC Algorithm for Causal Structure Detection

Method for Clustering Partially Observed Data

A Quantified Implementation of the Kraljic Matrix

Continuation Passing Style Development

Ordinary Kriging

Kriging-based Inversion for Deterministic and Noisy Computer Experiments

Kernel-based Regularized Least squares (KRLS)

Kernel Based Regression Models

Kernel Ridge Mixed Model

Kernel Smoothing

K-Sample Rank Tests and their Combinations

A Bayesian Approach for Protein Residue Contact Prediction using the Knob-Socket Model of Protein Tertiary Structure

Lilliefors-Corrected Kolmogorov-Smirnoff Goodness-of-Fit Tests

Goodness-of-Fit Tests using Kernelized Stein Discrepancy

Kinase-Substrate Enrichment Analysis

Selection of K in K-Means Clustering

Check the power of seveal statistical models.

Identify Kinase Substrate Relationships Using Dynamic Data

Knowledge Space Theory

Co-Tucker3 Analysis of Two Sequences of Matrices

Configurable function for solving families of nonlinear equations

k-Top Scoring Pairs for Microarray Classification

Datasets and functions from the (now non-existing) Faculty of Life Sciences, University of Copenhagen

Project Management Tools

Calculation of Groundwater Mounding Beneath an Infiltration Basin

Utility Functions by Youyi, Krisz and Others

Kolmogorov-Zurbenko Adaptive Filters

Multi-Scale Motions Separation with Kolmogorov-Zurbenko Periodogram Signals

Kolmogorov-Zurbenko Fourier Transform and Applications

Kolmogorov-Zurbenko Spatial Smoothing and Applications