Merging Linkage Maps by Linear Programming

Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs

R Interface to 'lp_solve' Version 5.5.2.0
R package lpSolveAPI version 5.5.2.0-17.15

Learned Pattern Similarity and Representation for Time Series

Lag Penalized Weighted Correlation for Time Series Clustering

Robust Group Variable Screening Based on Maximum Lq-Likelihood
Estimation
R package LqG version 0.1.0

A Package for Processing Lexical Response Data

Estimate and Test Exponential vs. Pareto Distributions

Sources an R "Module" with Caching & Encapsulation, Returning
Exported Vars
R package lrequire version 0.1.3

Low Rank Matrix Factorization S3 Objects

Low Rank Correction Quantile Variational Bayesian Algorithm for
Multi-Source Heterogeneous Models
R package LRQVB version 1.0.0

Power and Sample Size Calculation for Non-Proportional Hazards
and Beyond
R package lrstat version 0.3.2

Likelihood Ratio Tests and Confidence Intervals

Locally Stationary Two-Dimensional Wavelet Process Estimation
Scheme
R package LS2W version 1.3.7

A Multiscale Test of Spatial Stationarity for LS2W Processes

Applied Latent Semantic Analysis (LSA) Functions

Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit
R'

Functions to Facilitate the Simulation of Large Scale Assessment
Data

Interface Tools for 'LSD' Simulation Results Files

Impulse-Response Function Analysis for Agent-Based Models

Sensitivity Analysis Tools for 'LSD' Simulations

Constrained Least Squares and Generalized QR Factorization

Bootstrap Methods for Regression Models with Locally Stationary
Errors

Solving Least Squares or Quadratic Programming Problems under
Equality/Inequality Constraints
R package lsei version 1.3-1

Semi-Confirmatory Structural Equation Modeling via Penalized
Likelihood or Least Squares
R package lslx version 0.6.11

Estimation of the log Likelihood of the Saturated Model

Fitting Latent Space Item Response Models using Joint Maximum
Likelihood Estimation
R package LSMjml version 0.6.0

American options pricing with Least Squares Monte Carlo method