All packages

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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 — 0.2.0

Interface 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

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 — 5.2.9

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

latentgraph — 1.1

Graphical Models with Latent Variables

latentnet — 2.11.0

Latent Position and Cluster Models for Statistical Networks

later — 1.3.2

Utilities for Scheduling Functions to Execute Later with Event Loops

Laterality — 0.9.5

Functions to Calculate Common Laterality Statistics in Primatology

LATERmodel — 0.2.0

Linear Approach to Threshold with Ergodic Rate for Reaction Times

latex2exp — 0.9.6

Use LaTeX Expressions in Plots

latexdiffr — 0.2.0

Diff TeX, 'rmarkdown' or 'quarto' Files Using the 'latexdiff' Utility

latexpdf — 0.1.8

Convert Tables to PDF or PNG

latexSymb — 0.4.2

Write Equations in a Way that You Can Read

latrend — 1.6.1

A Framework for Clustering Longitudinal Data

latte — 0.2.1

Interface to 'LattE' and '4ti2'

lattice — 0.22-6

Trellis Graphics for R

LatticeDesign — 2.0-5

Lattice-Based Space-Filling Designs

latticeExtra — 0.6-30

Extra Graphical Utilities Based on Lattice

LatticeKrig — 9.3.0

Multi-Resolution Kriging Based on Markov Random Fields

lava — 1.8.0

Latent Variable Models

lavaan — 0.6-19

Latent Variable Analysis

lavaan.printer — 0.1.0

Helper Functions for Printing 'lavaan' Outputs

lavaan.shiny — 1.2

Latent Variable Analysis with Shiny

lavaanExtra — 0.2.1

Convenience Functions for Package 'lavaan'

lavaangui — 0.2.0

Graphical User Interface with Integrated 'Diagrammer' for 'Lavaan'

lavaanPlot — 0.8.1

Path Diagrams for 'Lavaan' Models via 'DiagrammeR'

lavacreg — 0.2-2

Latent Variable Count Regression Models

LavaCvxr — 1.0.2

Lava Estimation for the Sum of Sparse and Dense Signals(3 Methods)

lavaSearch2 — 2.0.3

Tools for Model Specification in the Latent Variable Framework

Lavash — 1.0

Lava Estimation for the Sum of Sparse and Dense Signals

LAWBL — 1.5.0

Latent (Variable) Analysis with Bayesian Learning

lawstat — 3.6

Tools for Biostatistics, Public Policy, and Law

lax — 1.2.3

Loglikelihood Adjustment for Extreme Value Models

lay — 0.1.3

Simple but Efficient Rowwise Jobs

lazy — 1.2-18

Lazy Learning for Local Regression

lazyarray — 1.1.0

Persistent Large Data Array with Lazy-Loading on Demand

lazybar — 0.1.0

Progress Bar with Remaining Time Forecast Method

lazyData — 1.1.0

A LazyData Facility

lazyeval — 0.2.2

Lazy (Non-Standard) Evaluation

lazysf — 0.1.0

Delayed Read for 'GDAL' Vector Data Sources

lazysql — 0.1.3

Lazy SQL Programming

lazytrade — 0.5.4

Learn Computer and Data Science using Algorithmic Trading

lazyWeave — 3.0.2

LaTeX Wrappers for R Users

lba — 2.4.52

Latent Budget Analysis for Compositional Data

lbfgs — 1.2.1.2

Limited-memory BFGS Optimization

lbfgsb3c — 2024-3.5

Limited Memory BFGS Minimizer with Bounds on Parameters with optim() 'C' Interface

LBI — 0.2.1

Likelihood Based Inference

lbm — 0.9.0.2

Log Binomial Regression Model in Exact Method

lboxcox — 1.2

Implementation of Logistic Box-Cox Regression

LBPG — 0.1.2

The Length-Biased Power Garima Distribution

lbreg — 1.3

Log-Binomial Regression with Constrained Optimization

LBSPR — 0.1.6

Length-Based Spawning Potential Ratio

LCA — 0.1.1

Localised Co-Dependency Analysis

LCAextend — 1.3

Latent Class Analysis (LCA) with Familial Dependence in Extended Pedigrees

lcars — 0.4.0

LCARS Aesthetic for Shiny

LCAvarsel — 1.1

Variable Selection for Latent Class Analysis

lcc — 1.1.4

Longitudinal Concordance Correlation

LCCR — 2.0

Latent Class Capture-Recapture Models

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