development

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

K* Nearest Neighbors Algorithm

Kernel Semi-Parametric Models

Identify Kinase Substrate Relationships Using Dynamic Data

Known Sub-Sequence Algorithm

Knowledge Space Theory

Unbiased Estimators for Cumulant Products and Faa Di Bruno's Formula

Knowledge Space Theory Input/Output

Basic Functions in Knowledge Space Theory Using Matrix Representation

Robust Clustering Procedures

Co-Tucker3 Analysis of Two Sequences of Matrices

Configurable Function for Solving Families of Nonlinear Equations

'Tweedie' Compound Poisson Model in the Reproducing Kernel Hilbert Space

Performs Kurtosis-Based Statistical Analyses

Project Management Tools

Read/Write Files in Key-Value-Hierarchy Format

Utility Functions for Statistical Analysis Report Generation and Monte Carlo Studies

Kolmogorov-Zurbenko Adaptive Filters

Kolmogorov-Zurbenko Spatial Smoothing and Applications

Sparse Generalized Linear Model with L0 Approximation for Feature Selection

Fast Algorithms for Best Subset Selection

L1-Ball Prior for Sparse Regression

Graph/Network Analysis Based on L1 Centrality

Deconvolution for LINCS L1000 Data

Routines for L1 Estimation

An L1-Version of the Spectral Clustering

Exploring Friedman's Boosting Algorithm for Regularized Linear Regression

Density Goodness-of-Fit Test

Robust Structured Regression via the L2 Criterion

L2 Inference for Change Points in High-Dimensional Time Series

Lioness Algorithm (LA)

Miscellaneous Scripts from the Data Science Laboratory (UCPH)

Ordination and Multivariate Analysis for Ecology

Automate the Production of Custom Labels, Badges, Certificates, and Other Documents

Axis Labeling

Manipulating Labelled Data

Make Labeling of R Data Sets Easy

Label Attributes for Atomic Vectors

Laser Ablation Blast Through Endpoint Detection

Normalize Laboratory Measurements by Age and Sex

Identification, Tuning, Visualisation and Analysis of Labour Market Areas

Classify Multilingual Labour Market Free-Text to Standardized Hierarchical Occupations

Laboratorio di "Ricerca Sociale con R"

Simplex Optimization Algorithms for Laboratory and Manufacturing Processes

Libreria Del Laboratorio Di Statistica Con R

Data Sets for the Book "Experimental Design for Laboratory Biologists"

Latent Autoregressive Count Models

Connect to the 'Less Annoying CRM' API

Tools for Analyzing Lactate Thresholds

Lactation Curve Parameter Estimation

Gliding Box Lacunarity and Other Metrics for 2D Random Closed Sets

Fast 3D Lacunarity for Voxel Data

Derive Leaf Angle Distribution (LAD) from Measured Leaf Inclination Angles

Automated Tool for Vertical Fuel Continuity Analysis using Airborne Laser Scanning Data

Estimation of Indicators on Social Exclusion and Poverty

Fast Access to Large ASCII Files

Classes and Methods for Lagged Objects

Interface to the Lake Multi-Scaled Geospatial and Temporal Database

Local Approximate Gaussian Process Regression

Spatial Lag Model Trees

Lag-Sequential Categorical Data Analysis

Sean 'Lahman' Baseball Database

Converting NDVI to LAI of Field, Proximal and Satellite Data

Tools for the Analysis of Ecosystem Metabolism

Lake Morphometry Metrics

Lake Temperatures Collected by Situ and Satellite Methods from 1985-2009

Consensus Seriation for Binary Data

Some Latent Variable Models

Fast Numerical Maximum Likelihood Estimation for Latent Markov Models

Variational Seq2Seq Model with Lambda Transformer for Time Series Analysis

Create a Runtime for Serving Containerised R Functions on 'AWS Lambda'

Probabilistic Models to Analyze and Gaussianize Heavy-Tailed, Skewed Data

Maximum Likelihood Estimation of Latent Variable Models

Log-Analytic Methods for Multiplicative Effects