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

Maximum Likelihood Estimation of Latent Variable Models

Log-Analytic Methods for Multiplicative Effects

Statistical Inference via Lancaster Correlation

Analysing Landscape Composition and Structure at Multiple Scales

Landmark Estimation of Survival and Treatment Effect

Topographic Position Index-Based Landform Classification

Landmark Prediction with Multiple Short-Term Events

Landmark Prediction of a Survival Outcome

Radiometric and Topographic Correction of Satellite Imagery

Landscape Metrics for Categorical Map Patterns
R package landscapemetrics version 2.2.1

Translates R Help Documentation using Large Language Models

Langevin Analysis in One and Two Dimensions

Data Sets and Functions with Analyzing Linguistic Data: A
Practical Introduction to Statistics
R package languageR version 1.6

Automated Setup and Auto Run for R Language Server
R package languageserversetup version 0.1.2

Complete Environment for Bayesian Inference

Lean Analytics and Robust Exploration Sidekick

Local Average Response Functions for Instrumental Variable
Estimation of Treatment Effects
R package LARF version 1.4

Testing Large VARs for the Presence of Cointegration

Estimation of Lifetime Attributable Risk of Cancer from
Radiation Exposure
R package LARisk version 1.0.0

Least Angle Regression, Lasso and Forward Stagewise

Modelling Interactions in High-Dimensional Data with
Backtracking

Fast High-Dimensional Gibbs Samplers for Bayesian Lasso
Regression
R package LassoHiDFastGibbs version 0.1.4

Nonparametric P-Value Estimation for Predictors in Lasso

Sparsed Sliced Inverse Regression via Lasso

Latin American Data via 'RESTful' APIs and Curated Datasets

Evaluation of the Role of Control Variables in Structural
Equation Models

Draws Diagrams Useful for Checking Latent Scales

Inference on LATEs under Network Interference of Unknown Form

Converting Latent Variables into Likert Scale Responses

Bayesian Model Averaging for Univariate Link Latent Gaussian
Models

Fast Computation of Latent Correlations for Mixed Data