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

Tree-Based Models for the Analysis of Log Files from
Computer-Based Assessments
R package LOGANTree version 0.1.1

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

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

Functions for the Logitnormal Distribution

Logit Models w/Preference & WTP Space Utility Parameterizations

Computing Log-Transformed Kernel Density Estimates for Positive
Data

Double Log Normal Distribution Functions

Log-Multiplicative Models, Including Association Models

Functions for the Lognormal Distribution

Natural Logarithms of the Gamma Function for Large Values

A Logging Utility Focus on Clinical Trial Programming Workflows

Routines for Logspline Density Estimation

Kernel Regression Smoothing with Local or Global Plug-in
Bandwidth