All packages

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l0ara — 0.1.6

Sparse Generalized Linear Model with L0 Approximation for Feature Selection

L0Learn — 1.2.0

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

L1-Regularized Multi-State Models

L1pack — 0.38.196

Routines for L1 Estimation

l2boost — 1.0.1

Friedman's Boosting Algorithm for Regularized Linear Regression

L2DensityGoFtest — 0.1.0

Density Goodness-of-Fit Test

labdsv — 2.0-1

Ordination and Multivariate Analysis for Ecology

label.switching — 1.8

Relabelling MCMC Outputs of Mixture Models

labeledLoop — 0.1

Labeled Loop

labeling — 0.4.2

Axis Labeling

labelled — 2.7.0

Manipulating Labelled Data

labelmachine — 1.0.0

Make Labeling of R Data Sets Easy

labelrank — 0.1

Predicting Rankings of Labels

labelVector — 0.1.1

Label Attributes for Atomic Vectors

LabourMarketAreas — 3.2.5

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 — 1.0.11

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 — 1.0.3

Connect to the 'Less Annoying CRM' API

lactcurves — 1.0.0

Lactation Curve Parameter Estimation

lacunaritycovariance — 1.1-0

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

LadR — 1.0.6

Routines for Fit, Inference and Diagnostics in LAD Models

laeken — 0.5.1

Estimation of Indicators on Social Exclusion and Poverty

laercio — 1.0-1

Duncan test, Tukey test and Scott-Knott test.

LaF — 0.8.4

Fast Access to Large ASCII Files

lagged — 0.3-0

Classes and Methods for Lagged Objects

LAGOSNE — 2.0.1

Interface to the Lake Multi-Scaled Geospatial and Temporal Database

laGP — 1.5-5

Local Approximate Gaussian Process Regression

lagsarlmtree — 1.0-1

Spatial Lag Model Trees

LagSequential — 0.1.1

Lag-Sequential Categorical Data Analysis

Lahman — 8.0-0

Sean 'Lahman' Baseball Database

LakeMetabolizer — 1.5.0

Tools for the Analysis of Ecosystem Metabolism

lakemorpho — 1.1.1

Lake Morphometry Metrics

laketemps — 0.5.1

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

LAM — 0.5-15

Some Latent Variable Models

lambda.r — 1.2.4

Modeling Data with Functional Programming

Lambda4 — 3.0

Collection of Internal Consistency Reliability Coefficients.

LambertW — 0.6.5

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

lamme — 0.0.1

Log-Analytic Methods for Multiplicative Effects

lamW — 1.3.3

Lambert-W Function

LANDD — 1.1.0

Liquid Association for Network Dynamics Detection

landest — 1.0

Landmark Estimation of Survival and Treatment Effect

landpred — 1.0

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 — 1.5.0

Landscape Metrics for Categorical Map Patterns

landscapeR — 1.2

Categorical Landscape Simulation Facility

landscapetools — 0.5.0

Landscape Utility Toolbox

landsepi — 1.0.1

Landscape Epidemiology and Evolution

Langevin — 1.2.1

Langevin Analysis in One and Two Dimensions

languagelayeR — 1.2.4

Access the 'languagelayer' API

languageR — 1.5.0

Analyzing Linguistic Data: A Practical Introduction to Statistics

languageserver — 0.3.7

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 — 16.1.4

Complete Environment for Bayesian Inference

lar — 0.1-2

History of labour relations package

LARF — 1.4

Local Average Response Functions for Instrumental Variable Estimation of Treatment Effects

largeList — 0.3.1

Serialization Interface for Large List Objects

LARisk — 0.1.0

Estimation of Lifetime Attributable Risk of Cancer from Radiation Exposure

lars — 1.2

Least Angle Regression, Lasso and Forward Stagewise

lass0 — 1.1.0

Lasso-Zero for (High-Dimensional) Linear Regression

lasso2 — 1.2-21.1

L1 Constrained Estimation aka `lasso'

LassoBacktracking — 0.1.2

Modelling Interactions in High-Dimensional Data with Backtracking

LassoNet — 0.8.3

3CoSE Algorithm

lassopv — 0.2.0

Nonparametric P-Value Estimation for Predictors in Lasso

lassoscore — 0.6

High-Dimensional Inference with the Penalized Score Test

lassoshooting — 0.1.5-1

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

latentnet — 2.10.5

Latent Position and Cluster Models for Statistical Networks

later — 1.1.0.1

Utilities for Scheduling Functions to Execute Later with Event Loops

Laterality — 0.9.3

Functions to Calculate Common Laterality Statistics in Primatology

latex2exp — 0.4.0

Use LaTeX Expressions in Plots

latexpdf — 0.1.6

Convert Tables to PDF or PNG

latte — 0.2.1

Interface to 'LattE' and '4ti2'

lattice — 0.20-41

Trellis Graphics for R

latticeDensity — 1.1.6

Density Estimation and Nonparametric Regression on Irregular Regions

LatticeDesign — 1.0-1

Lattice-Based Space-Filling Designs

latticeExtra — 0.6-29

Extra Graphical Utilities Based on Lattice

LatticeKrig — 8.4

Multi-Resolution Kriging Based on Markov Random Fields

lava — 1.6.8

Latent Variable Models

lavaan — 0.6-7

Latent Variable Analysis

lavaan.shiny — 1.2

Latent Variable Analysis with Shiny

lavaan.survey — 1.1.3.1

Complex Survey Structural Equation Modeling (SEM)

lavaanPlot — 0.5.1

Path Diagrams for Lavaan Models via DiagrammeR

lavaSearch2 — 1.5.6

Tools for Model Specification in the Latent Variable Framework

Lavash — 1.0

Lava Estimation for the Sum of Sparse and Dense Signals

LAWBL — 1.1.0

Latent (Variable) Analysis with Bayesian Learning

lawn — 0.5.0

Client for 'Turfjs' for 'Geospatial' Analysis

lawstat — 3.4

Tools for Biostatistics, Public Policy, and Law

lax — 1.1.0

Loglikelihood Adjustment for Extreme Value Models

lazy — 1.2-16

Lazy Learning for Local Regression

lazyarray — 1.1.0

Persistent Large Data Array with Lazy-Loading on Demand

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