All packages

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l0ara — 0.1.6

Sparse Generalized Linear Model with L0 Approximation for Feature Selection

L0Learn — 2.1.0

Fast Algorithms for Best Subset Selection

l1ball — 0.1.0

L1-Ball Prior for Sparse Regression

L1centrality — 0.3.0

Graph/Network Analysis Based on L1 Centrality

l1kdeconv — 1.2.0

Deconvolution for LINCS L1000 Data

L1pack — 0.50

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 — 0.6.0

Density Goodness-of-Fit Test

L2E — 2.0

Robust Structured Regression via the L2 Criterion

L2hdchange — 1.0

L2 Inference for Change Points in High-Dimensional Time Series

LA — 2.3

Lioness Algorithm (LA)

lab2clean — 1.0.0

Automation and Standardization of Cleaning Clinical Lab Data

LabApplStat — 1.4.4

Miscellaneous Scripts from the Data Science Laboratory (UCPH)

labdsv — 2.1-0

Ordination and Multivariate Analysis for Ecology

label.switching — 1.8

Relabelling MCMC Outputs of Mixture Models

labeleR — 0.1.2

Automate the Production of Custom Labels, Badges, Certificates, and Other Documents

labeling — 0.4.3

Axis Labeling

labelled — 2.13.0

Manipulating Labelled Data

labelmachine — 1.0.0

Make Labeling of R Data Sets Easy

labelr — 0.1.9

Label Data Frames, Variables, and Values

labelVector — 0.1.2

Label Attributes for Atomic Vectors

lablaster — 1.0.1

Laser Ablation Blast Through Endpoint Detection

labNorm — 1.0.1

Normalize Laboratory Measurements by Age and Sex

LabourMarketAreas — 3.4

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 — 0.2.0

Tools for Analyzing Lactate Thresholds

lactcurves — 1.1.0

Lactation Curve Parameter Estimation

lacunaritycovariance — 1.1-7

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

lacunr — 1.0.1

Fast 3D Lacunarity for Voxel Data

LAD — 0.1.0

Derive Leaf Angle Distribution (LAD) from Measured Leaf Inclination Angles

LadderFuelsR — 0.0.7

Automated Tool for Vertical Fuel Continuity Analysis using Airborne Laser Scanning Data

laeken — 0.5.3

Estimation of Indicators on Social Exclusion and Poverty

LaF — 0.8.6

Fast Access to Large ASCII Files

lagged — 0.3.2

Classes and Methods for Lagged Objects

LAGOSNE — 2.0.3

Interface to the Lake Multi-Scaled Geospatial and Temporal Database

laGP — 1.5-9

Local Approximate Gaussian Process Regression

lagsarlmtree — 1.0-1

Spatial Lag Model Trees

LagSequential — 0.1.1

Lag-Sequential Categorical Data Analysis

Lahman — 12.0-0

Sean 'Lahman' Baseball Database

LAIr — 0.3.0

Converting NDVI to LAI of Field, Proximal and Satellite Data

LakeMetabolizer — 1.5.5

Tools for the Analysis of Ecosystem Metabolism

lakemorpho — 1.3.2

Lake Morphometry Metrics

laketemps — 0.5.1

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

lakhesis — 0.0.1

Consensus Seriation for Binary Data

LAM — 0.7-22

Some Latent Variable Models

LaMa — 2.0.2

Fast Numerical Maximum Likelihood Estimation for Latent Markov 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 — 1.2.5

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

LambertW — 0.6.9-1

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

laminr — 0.3.0

Client for 'LaminDB'

lamle — 0.3.1

Maximum Likelihood Estimation of Latent Variable Models

lamme — 0.0.1

Log-Analytic Methods for Multiplicative Effects

lamW — 2.2.4

Lambert-W Function

lancor — 0.1.2

Statistical Inference via Lancaster Correlation

LandComp — 0.0.5

Analysing Landscape Composition and Structure at Multiple Scales

landest — 1.2

Landmark Estimation of Survival and Treatment Effect

landform — 0.2

Topographic Position Index-Based Landform Classification

Landmarking — 1.0.0

Analysis using Landmark Models

landmix — 1.0

Landmark Prediction for Mixture Data

landmulti — 0.5.0

Landmark Prediction with Multiple Short-Term Events

landpred — 1.2

Landmark Prediction of a Survival Outcome

landsat — 1.1.2

Radiometric and Topographic Correction of Satellite Imagery

landscapemetrics — 2.1.4

Landscape Metrics for Categorical Map Patterns

landscapeR — 1.3.1

Categorical Landscape Simulation Facility

landsepi — 1.5.1

Landscape Epidemiology and Evolution

Langevin — 1.3.2

Langevin Analysis in One and Two Dimensions

langevitour — 0.7

Langevin Tour

languagelayeR — 1.2.4

Access the 'languagelayer' API

languageR — 1.5.0

Analyzing Linguistic Data: A Practical Introduction to Statistics

languageserver — 0.3.16

Language Server Protocol

languageserversetup — 0.1.2

Automated Setup and Auto Run for R Language Server

lans2r — 1.2.0

Work with Look at NanoSIMS Data in R

LaplacesDemon — 16.1.6

Complete Environment for Bayesian Inference

lar — 0.1-2

History of labour relations package

lares — 5.2.10

Analytics & Machine Learning Sidekick

lareshiny — 0.0.3

Lares 'shiny' Modules

LARF — 1.4

Local Average Response Functions for Instrumental Variable Estimation of Treatment Effects

Largevars — 1.0.2

Testing Large VARs for the Presence of Cointegration

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 — 1.1

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

LassoSIR — 0.1.1

Sparsed Sliced Inverse Regression via Lasso

latcontrol — 0.1.1

Evaluation of the Role of Control Variables in Structural Equation Models

latdiag — 0.3

Draws Diagrams Useful for Checking Latent Scales

latenetwork — 1.0.1

Inference on LATEs under Network Interference of Unknown Form

latent2likert — 1.2.1

Converting Latent Variables into Likert Scale Responses

LatentBMA — 0.1.1

Bayesian Model Averaging for Univariate Link Latent Gaussian Models

latentcor — 2.0.1

Fast Computation of Latent Correlations for Mixed Data

latentFactoR — 0.0.6

Data Simulation Based on Latent Factors

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