Forest Analysis with Airborne Laser Scanning (LiDAR) Data

Airborne LiDAR Data Manipulation and Visualization for Forestry
Applications
R package lidR version 4.1.1

Real-Time PCR Data Sets by Lievens et al. (2012)

Financial and Actuarial Mathematics for Life Contingencies
R package lifecontingencies version 1.3.11

Manage the Life Cycle of your Package Functions

Framework for Traditional Life Insurance Contracts
R package LifeInsuranceContracts version 0.0.6

Modelling Traditional Life Insurance Contracts

Life and Fertility Tables Specially for Insects

Two-Parameter HMD Model Life Table System

Wavelet Lifting Estimators of the Hurst Exponent for Regularly
and Irregularly Sampled Time Series
R package liftLRD version 1.0-9

Containerize R Markdown Documents for Continuous Reproducibility

A Bootstrap Proportion Test for Brand Lift Testing

Tools for Communication with Lightning-Viz Server

From 'Rmarkdown' and 'Quarto' Files to Tibble and Back

Implementation of the 'Lights Out' Puzzle Game

Methods for Maximum Likelihood Estimation

R package likelihoodExplore version 0.1.0

Likelihood Analyses for Common Statistical Tests

Synthesise and Correlate Rating-Scale Data

Metabolomics Personalized Pathway Analysis Tool

For Implementation of Feed Reduction, Learning Examples, NLP and
Code Management
R package LilRhino version 1.2.2

Linear Inverse Model Examples and Solution Methods

Multivariate Data Visualization with Tours and Embeddings

Working with 'LimeSurvey' Surveys and Responses

Differential Analysis of Rhythmic Transcriptome Data

Quantify Rhythmicity and Differential Rhythmicity in Genomic
Data

Perform Polynomial Evaluation of Linearity

Binning and Plotting of Linearly Referenced Data

Static Univariate Frequentist and Bayesian Linear Calibration

Linear Biomarker Combination: Empirical Performance Optimization

Sampling Multivariate Normal Distribution under Linear
Constraints

Functions to Explore L-Systems (Lindenmayer Systems)

R package LindleyPowerSeries version 1.0.1

Minimum Distance Estimation in Linear Regression Model
R package LinearRegressionMDE version 1.0