rPackages

Kernel_lasso Expansion

Kernel Learning Integrative Clustering

Geostatistics Methods and Klovan Data

Blocking for Record Linkage

D3 Dynamic Cluster Visualizations

K-Means Like Blockmodeling of One-Mode and Linked Networks

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

Kernel Measure of Multi-Sample Dissimilarity

Distance-Based k-Medoids

K-Medians

Fast K-Mer Counting and Clustering for Biological Sequence Analysis

K-Mers Similarity Score Matrix and HeatMap

Kaplan-Meier Multiple Imputation for the Analysis of Cumulative Incidence Functions in the Competi…

K-Means for Longitudinal Data

K-Means for Joint Longitudinal Data

Preserving Attribute Values: Converting KML to Shapefile

K-Means with Simultaneous Outlier Detection

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

KMunicate-Style Kaplan–Meier Plots

Generate Feasible Samples of a Knapsack Problem

Finds Cutoff Points on Knee Curves

Citations for 'Knitr' Markdown Files

'Knitr' Helpers - Mostly Tables

A General-Purpose Package for Dynamic Report Generation in R

'knitr' Bootstrap Framework

Data Language Engine for 'knitr' / 'rmarkdown'

Provides Progress Bars in 'knitr'

Generates a Spreadsheet Report from an 'rmarkdown' File

K-Nearest Neighbor Mutual Information Estimator

Time Series Prediction using K-Nearest Neighbors Algorithm (Parallel)

Interactive Document for Working with KNN Analysis

K Nearest Neighbors with Grid Search Variable Selection

K Nearest Neighbor Forecasting with a Tailored Similarity Metric

The Knockoff Filter for Controlled Variable Selection

Hybrid Analysis of Population and Trio Data with Knockoff Statistics for FDR Control

Whole-Genome Sequencing Data Analysis via Knockoff Statistics

Trio Data Analysis with Knockoff Statistics for FDR Control

Knot Diagrams using Bezier Curves

Discriminating Well Surveyed Spatial Units from Exhaustive Biodiversity Databases

R Client for 'kintone' API

Download Data from Kobotoolbox to R

Knowledge Discovery by Accuracy Maximization

Get Data from the 'KOF Datenservice' API

A Genetic Algorithm for Fixed-Size Subset Selection

Functional Summary and Meta-Analysis of Gene Expression Data

Supervised and Unsupervised Self-Organising Maps

Utilities for 'Kokudo Suuchi'

Simply Beautiful PDF Letters from Markdown

Quantify the Robustness of Causal Inferences

KONP Tests: Powerful K-Sample Tests for Right-Censored Data

Text Analysis with Emphasis on POS Tagging, Readability, and Lexical Diversity

Variable Selection by Revisited Knockoffs Procedures

Korean Statistical Information Service (KOSIS)

Koul's Minimum Distance Estimation in Regression and Image Segmentation Problems

Cubic Spline Fitting with Knot Selection

Kernel Partial Correlation Coefficient

Variables Interpretability with Kernel PCA

Kernel PC Algorithm for Causal Structure Detection

Determination of K Using Peak Counts of Features for Clustering

Known Population Median Test

Method for Clustering Partially Observed Data

A Quantified Implementation of the Kraljic Matrix

Continuation Passing Style Development

Geospatial Kriging with Metropolis Sampling

Ordinary Kriging

Kriging-Based Inversion for Deterministic and Noisy Computer Experiments

Measuring Agreement Using Krippendorff's Alpha Coefficient

Keen and Reliable Interface Subroutines for Bioinformatic Analysis

Kernel-Based Regularized Least Squares

Kernel Based Regression Models

Kernel Ridge Mixed Model

Microbiome Oriented Circadian Rhythm Analysis Toolkit

Kernel Smoothing

Retained Component Criterion for Principal Component Analysis

K-Sample Rank Tests and their Combinations

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

Goodness-of-Fit Tests using Kernelized Stein Discrepancy

Kinase-Substrate Enrichment Analysis

Selection of K in K-Means Clustering

Computing P-Values of the One-Sample K-S Test and the Two-Sample K-S and Kuiper Tests for (Dis)Con…

Cluster Sharpening