Package for Sequence Analysis by Local Score

Detection and Localization of Executable Files

Identification of Location Game Equilibria in Networks

Geographically-Conscious Taxonomic Assignment for Metabarcoding

Local Regression, Likelihood and Density Estimation

Test of Stationarity and Localized Autocovariance

Datasets for "Statistics: UnLocking the Power of Data"

Locally Sparse Estimator of Generalized Varying Coefficient
Model for Asynchronous Longitudinal Data
R package LocKer version 1.1

Fast Implementation of (Local) Population Stratification Methods

Low-Rank Decomposition of Brain Connectivity Matrices with
Uniform Sparsity
R package LOCUS version 1.0

Dependency-Free Access to PNG Image Files

Genome-Wide Association Analysis of a Biomarker Accounting for
Limit of Detection
R package lodGWAS version 1.0-7

Limit of Detection Imputation for Single-Pollutant Models

Linear Model Fitting with LOD Covariates

Data Sets from "Lectures on Econometrics" by Chirok Han

R package loewesadditivity version 0.1.0

A Fast and Lightweight Logging System for R, Based on 'log4j'

Log File Analysis in International Large-Scale Assessments

Relative Risk Regression Using the Log-Binomial Model

Log-Concave Density Estimation in Arbitrary Dimensions

Maximum Likelihood Estimation of a Log-Concave Density Based on
Censored Data

Estimate a Log-Concave Probability Density from Iid Observations

Estimate a Log-Concave Probability Mass Function from Discrete
i.i.d. Observations
R package logcondiscr version 1.0.6

A Lightweight, Modern and Flexible Logging Utility

Salary Analysis by the Swiss Federal Office for Gender Equality

Binning Variables to Use in Logistic Regression

Identifying Interactions Between Binary Predictors

Logistic Regression with Misclassification in Dependent
Variables

A Copula Based Extension of Logistic Regression

R package LogisticCurveFitting version 0.1.0

Linear and Logistic Regression-Based Reliable Change Index

Adjusted Relative Risk from Logistic Regression

Functional Principal Components Logistic Regression