a month ago by Juliane Manitz

Kernel Approaches for Nonlinear Genetic Association Regression

6 months ago by Hannah Franziska Löchel

Encoding of Sequences Based on Frequency Matrix Chaos Game Representation

2 years ago by Frédéric Santos

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

5 years ago by Ivan Kojadinovic

Non-Additive Measure and Integral Manipulation Functions

a year ago by Michael A Rotondi

Sample Size Estimation Functions for Studies of Interobserver Agreement

6 years ago by Vincent Bonhomme

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

a year ago by Jedelyn Cabrieto

Kernel Change Point Detection on the Running Statistics

9 months ago by Jonas Moss

Kernel Density Estimation with Parametric Starts and Asymmetric Kernels

6 years ago by Grady Weyenberg

Nonparametric method for identifying discordant phylogenetic trees

a year ago by Thomas Nagler

Multivariate Kernel Density Estimation with Vine Copulas

4 years ago by Arsalane Chouaib Guidoum

Kernel Estimator and Bandwidth Selection for Density and Its Derivatives

4 years ago by Claudia Vitolo

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

5 years ago by Andrew J Barbour

Calculate Solutions to the Kelvin Differential Equation using Bessel Functions

2 years ago by Mateusz Staniak

Simulate and Visualize Kendall Random Walks and Related Distributions

3 years ago by Yuchen Yang

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

a year ago by Francois Brun (ACTA)

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

8 years ago by Alejandro Quintela del Rio

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

2 years ago by Boxiang Wang

Distance Weighted Discrimination (DWD) and Kernel Methods

2 months ago by Tymoteusz Wolodzko

Smoothed Bootstrap and Random Generation from Kernel Densities

a month ago by Marcus Gross

Kernel Density Estimation for Heaped and Rounded Data

4 months ago by Lotfi Slim

Post-Selection Inference for Nonlinear Variable Selection

9 months ago by Tullia Padellini

Statistical Learning with Kernel for Persistence Diagrams

a year ago by Iveta Selingerova

Kernel Estimation of Hazard Function in Survival Analysis

a year ago by Hoon Hwangbo

A Kernel Regression-Based Multidimensional Wind Turbine Power Curve

5 months ago by Brian Ripley

Functions for Kernel Smoothing Supporting Wand & Jones (1995)

3 years ago by Josh Gilfillan

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

10 months ago by Jouni Helske

Kalman Filter and Smoother for Exponential Family State Space Models

5 years ago by Michael C Koohafkan

Integrated Code Chunk Anchoring and Referencing for R Markdown Documents

5 years ago by Javier López-de-Lacalle

Kalman Filter, Smoother and Disturbance Smoother

5 years ago by Dipesh E Patel

Framework for the Analysis of Kinetic Visual Field Data

2 years ago by John Muschelli

Example Data from the Multi-Modal MRI 'Reproducibility' Resource

2 years ago by John Muschelli

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

2 years ago by John Muschelli

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

2 years ago by Andrew J Barbour

Spectral Response of Water Wells to Harmonic Strain and Pressure Signals

3 months ago by Ryan Whaley

A Wrapper for Querying KISTERS 'WISKI' Databases via the 'KiWIS' API

14 days ago by Yifan Yang

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

6 years ago by David E. Matthews

Kaplan-Meier Simultaneous Confidence Band for the Survivor Function

10 months ago by Shaun Wilkinson

Fast K-Mer Counting and Clustering for Biological Sequence Analysis

10 months ago by Arthur Allignol

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