Local Polynomial Density Estimation and Inference

Nonparametric Smoothing of Laplacian Graph Spectra

Ecological Inference by Linear Programming under Homogeneity

Local Polynomial Estimators of the Intensity Function and Its
Derivatives
R package lpint version 2.1

Local Projections Impulse Response Functions

LP Nonparametric High Dimensional K-Sample Comparison

Local Partial Likelihood Estimation and Simultaneous Confidence
Band
R package lpl version 0.11

Linear Parametric Models Applied to Hydrological Series

Nonparametric Estimation of Measurement Error Models

Merging Linkage Maps by Linear Programming

Calculates Power, Sample Size, or Detectable Effect for
Longitudinal Analyses
R package LPower version 0.1.1

Linear Predictor Score, for Binary Inference from Multiple
Continuous Variables
R package LPS version 1.0.16

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 5.5.2.0-17.11

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

Dose Response Signal Detection under Model Uncertainty

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

Different Types of Estimators to Deal with Multicollinearity

Low Rank Matrix Factorization S3 Objects

Power and Sample Size Calculation for Non-Proportional Hazards
and Beyond
R package lrstat version 0.2.5

Likelihood Ratio Tests and Confidence Intervals

Locally Stationary Two-Dimensional Wavelet Process Estimation
Scheme
R package LS2W version 1.3.6

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

Least-Squares Bilinear Clustering for Three-Way Data