All packages

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l0ara — 0.1.6

Sparse Generalized Linear Model with L0 Approximation for Feature Selection

L0Learn — 2.0.3

Fast Algorithms for Best Subset Selection

l1ball — 0.1.0

L1-Ball Prior for Sparse Regression

l1kdeconv — 1.2.0

Deconvolution for LINCS L1000 Data

L1mstate — 1.0.1

L1-Regularized Multi-State Models

L1pack — 0.41

Routines for L1 Estimation

l1spectral — 0.99.6

An L1-Version of the Spectral Clustering

l2boost — 1.0.3

Exploring Friedman's Boosting Algorithm for Regularized Linear Regression

L2DensityGoFtest — 0.5.0

Density Goodness-of-Fit Test

L2E — 2.0

Robust Structured Regression via the L2 Criterion

LA — 2.1

Lioness Algorithm (LA)

LabApplStat — 1.4.3

Miscellaneous Scripts from the Data Science Laboratory (UCPH)

labdsv — 2.0-1

Ordination and Multivariate Analysis for Ecology

label.switching — 1.8

Relabelling MCMC Outputs of Mixture Models

labeling — 0.4.2

Axis Labeling

labelled — 2.10.0

Manipulating Labelled Data

labelmachine — 1.0.0

Make Labeling of R Data Sets Easy

labelVector — 0.1.2

Label Attributes for Atomic Vectors

lablaster — 0.0.1

Laser Ablation Blast Through Endpoint Detection

LabourMarketAreas — 3.3.1

Identification, Tuning, Visualisation and Analysis of Labour Market Areas

labourR — 1.0.0

Classify Multilingual Labour Market Free-Text to Standardized Hierarchical Occupations

LabRS — 0.1.0

Laboratorio di "Ricerca Sociale con R"

labsimplex — 0.1.2

Simplex Optimization Algorithms for Laboratory and Manufacturing Processes

labstatR — 1.0.13

Libreria Del Laboratorio Di Statistica Con R

labstats — 1.0.1

Data Sets for the Book "Experimental Design for Laboratory Biologists"

lacm — 0.1.1

Latent Autoregressive Count Models

lacrmr — 1.0.5

Connect to the 'Less Annoying CRM' API

lactater — 0.1.1

Tools for Analyzing Lactate Thresholds

lactcurves — 1.1.0

Lactation Curve Parameter Estimation

lacunaritycovariance — 1.1-3

Gliding Box Lacunarity and Other Metrics for 2D Random Closed Sets

laeken — 0.5.2

Estimation of Indicators on Social Exclusion and Poverty

LaF — 0.8.4

Fast Access to Large ASCII Files

lagged — 0.3.2

Classes and Methods for Lagged Objects

LAGOSNE — 2.0.2

Interface to the Lake Multi-Scaled Geospatial and Temporal Database

laGP — 1.5-7

Local Approximate Gaussian Process Regression

lagsarlmtree — 1.0-1

Spatial Lag Model Trees

LagSequential — 0.1.1

Lag-Sequential Categorical Data Analysis

Lahman — 10.0-1

Sean 'Lahman' Baseball Database

lakemorpho — 1.2.0

Lake Morphometry Metrics

laketemps — 0.5.1

Lake Temperatures Collected by Situ and Satellite Methods from 1985-2009

LAM — 0.6-19

Some Latent Variable Models

lambda.r — 1.2.4

Modeling Data with Functional Programming

lambdaTS — 1.1

Variational Seq2Seq Model with Lambda Transformer for Time Series Analysis

lambdr — 1.2.2

Create a Runtime for Serving Containerised R Functions on 'AWS Lambda'

LambertW — 0.6.7-1

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

lamme — 0.0.1

Log-Analytic Methods for Multiplicative Effects

lamW — 2.1.1

Lambert-W Function

landest — 1.1

Landmark Estimation of Survival and Treatment Effect

Landmarking — 1.0.0

Analysis using Landmark Models

landpred — 1.1

Landmark Prediction of a Survival Outcome

landsat — 1.1.0

Radiometric and Topographic Correction of Satellite Imagery

landsat8 — 0.1-10

Landsat 8 Imagery Rescaled to Reflectance, Radiance and/or Temperature

landscapemetrics — 1.5.4

Landscape Metrics for Categorical Map Patterns

landscapeR — 1.2

Categorical Landscape Simulation Facility

landscapetools — 0.5.0

Landscape Utility Toolbox

landsepi — 1.2.1

Landscape Epidemiology and Evolution

Langevin — 1.3.1

Langevin Analysis in One and Two Dimensions

langevitour — 0.5

Langevin Tour

languagelayeR — 1.2.4

Access the 'languagelayer' API

languageR — 1.5.0

Analyzing Linguistic Data: A Practical Introduction to Statistics

languageserver — 0.3.13

Language Server Protocol

languageserversetup — 0.1.2

Automated Setup and Auto Run for R Language Server

lans2r — 1.1.0

Work with Look at NanoSIMS Data in R

LaplaceDeconv — 1.0.4

Laplace Deconvolution with Noisy Discrete Non-Equally Spaced Observations on a Finite Time Interval

LaplacesDemon — 16.1.6

Complete Environment for Bayesian Inference

lar — 0.1-2

History of labour relations package

lares — 5.1.4

Analytics & Machine Learning Sidekick

LARF — 1.4

Local Average Response Functions for Instrumental Variable Estimation of Treatment Effects

LARGB — 0.1.0

Leaf Area Determination from Visual Image

largeList — 0.3.1

Serialization Interface for Large List Objects

LARisk — 1.0.0

Estimation of Lifetime Attributable Risk of Cancer from Radiation Exposure

lars — 1.3

Least Angle Regression, Lasso and Forward Stagewise

LassoBacktracking — 0.1.2

Modelling Interactions in High-Dimensional Data with Backtracking

LassoGEE — 1.0

High-Dimensional Lasso Generalized Estimating Equations

LassoNet — 0.8.3

3CoSE Algorithm

lassopv — 0.2.0

Nonparametric P-Value Estimation for Predictors in Lasso

lassoshooting — 0.1.5-1.1

L1 Regularized Regression (Lasso) Solver using the Cyclic Coordinate Descent Algorithm aka Lasso Shooting

LassoSIR — 0.1.1

Sparsed Sliced Inverse Regression via Lasso

latdiag — 0.3

Draws Diagrams Useful for Checking Latent Scales

latentcor — 2.0.1

Fast Computation of Latent Correlations for Mixed Data

latentFactoR — 0.0.2

Data Simulation Based on Latent Factors

latentgraph — 1.1

Graphical Models with Latent Variables

latentnet — 2.10.6

Latent Position and Cluster Models for Statistical Networks

later — 1.3.0

Utilities for Scheduling Functions to Execute Later with Event Loops

Laterality — 0.9.4

Functions to Calculate Common Laterality Statistics in Primatology

latex2exp — 0.9.5

Use LaTeX Expressions in Plots

latexdiffr — 0.1.0

Diff 'rmarkdown' Files Using the 'latexdiff' Utility

latexpdf — 0.1.7

Convert Tables to PDF or PNG

latrend — 1.4.2

A Framework for Clustering Longitudinal Data

latte — 0.2.1

Interface to 'LattE' and '4ti2'

lattice — 0.20-45

Trellis Graphics for R

latticeDensity — 1.2.6

Density Estimation and Nonparametric Regression on Irregular Regions

LatticeDesign — 2.0-4

Lattice-Based Space-Filling Designs

latticeExtra — 0.6-30

Extra Graphical Utilities Based on Lattice

LatticeKrig — 8.4

Multi-Resolution Kriging Based on Markov Random Fields

lava — 1.6.10

Latent Variable Models

lavaan — 0.6-12

Latent Variable Analysis

lavaan.shiny — 1.2

Latent Variable Analysis with Shiny

lavaan.survey — 1.1.3.1

Complex Survey Structural Equation Modeling (SEM)

lavaanExtra — 0.1.3

Convenience Functions for Package 'lavaan'

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