Analysis of Korean National Forest Inventory Database

A General-Purpose Package for Dynamic Report Generation in R

Data Language Engine for 'knitr' / 'rmarkdown'

R package knitrProgressBar version 1.1.1

Generates a Spreadsheet Report from an 'rmarkdown' File

An Accurate kNN Implementation with Multiple Distance Measures

k-Nearest Neighbor Mutual Information Estimator

Time Series Prediction using K-Nearest Neighbors Algorithm
(Parallel)
R package knnp version 2.0.0

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

GWAS with Trio and Duo Data using Knockoff Statistics for FDR
Control

Discriminating Well Surveyed Spatial Units from Exhaustive
Biodiversity Databases
R package KnowBR version 2.2

Get Data from the 'KOF Datenservice' API

Test the Kronecker Product Structure in Tensor Factor Models

A Genetic Algorithm for Fixed-Size Subset Selection

Functional Summary and Meta-Analysis of Gene Expression Data

Supervised and Unsupervised Self-Organising Maps

Pick and Plot Key Opinion Leaders from a Network Given
Constraints

Event Classification, Visualization and Analysis of Eye Tracking
Data

Simply Beautiful PDF Letters from Markdown

Quantify the Robustness of Causal Inferences

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

Matching Address Data to Reference Index

Text Analysis with Emphasis on POS Tagging, Readability, and
Lexical Diversity
R package koRpus version 0.13-9

Language Support for 'koRpus' Package: English

Variable Selection by Revisited Knockoffs Procedures

Korean Statistical Information Service (KOSIS)

Cubic Spline Fitting with Knot Selection

Variables Interpretability with Kernel PCA

Determination of K Using Peak Counts of Features for Clustering

KPI Widgets for Quarto Dashboards with Crosstalk

Method for Clustering Partially Observed Data