All packages

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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 — 5.2.7

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

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

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

latcontrol — 0.1.0

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

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 — 0.9.4

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

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 — 8.4

Multi-Resolution Kriging Based on Markov Random Fields

lava — 1.8.0

Latent Variable Models

lavaan — 0.6-17

Latent Variable Analysis

lavaan.shiny — 1.2

Latent Variable Analysis with Shiny

lavaanExtra — 0.2.0

Convenience Functions for Package 'lavaan'

lavaanPlot — 0.8.1

Path Diagrams for 'Lavaan' Models via 'DiagrammeR'

lavacreg — 0.2-1

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 — 0.5.3

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 — 2024-3.4

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

LBI — 0.1.1

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 — 0.3.8

LCARS Aesthetic for Shiny

LCAvarsel — 1.1

Variable Selection for Latent Class Analysis

lcc — 1.1.4

Longitudinal Concordance Correlation

LCCR — 1.3

Latent Class Capture-Recapture Models

lcda — 0.3.2

Latent Class Discriminant Analysis

LCF — 1.7.0

Linear Combination Fitting

LCFdata — 2.0

Data sets for package ``LMERConvenienceFunctions''

lchemix — 0.1.0

A Bayesian Multi-Dimensional Couple-Based Latent Risk Model

LCMCR — 0.4.14

Bayesian Non-Parametric Latent-Class Capture-Recapture

lcmm — 2.1.0

Extended Mixed Models Using Latent Classes and Latent Processes

LCMSQA — 1.0.2

Liquid Chromatography/Mass Spectrometry (LC/MS) Quality Assessment

lconnect — 0.1.2

Simple Tools to Compute Landscape Connectivity Metrics

lcopula — 1.0.7

Liouville Copulas

lcpm — 0.1.1

Ordinal Outcomes: Generalized Linear Models with the Log Link

lcra — 1.1.5

Bayesian Joint Latent Class and Regression Models

lcsm — 0.3.2

Univariate and Bivariate Latent Change Score Modelling

lctools — 0.2-10

Local Correlation, Spatial Inequalities, Geographically Weighted Regression and Other Tools

lcyanalysis — 1.0.4

Stock Data Analysis Functions

lda — 1.5.2

Collapsed Gibbs Sampling Methods for Topic Models

LDAandLDAS — 1.1.3

Linkage Disequilibrium of Ancestry (LDA) and LDA Score (LDAS)

LDABiplots — 0.1.2

Biplot Graphical Interface for LDA Models

LDAcoop — 0.1.1

Analysis of Data from Limiting Dilution Assay (LDA) with or without Cellular Cooperation

ldamatch — 1.0.3

Selection of Statistically Similar Research Groups

ldaPrototype — 0.3.1

Prototype of Multiple Latent Dirichlet Allocation Runs

LDAShiny — 0.9.3

User-Friendly Interface for Review of Scientific Literature

LDATree — 0.1.2

Classification Trees with Linear Discriminant Analysis at Terminal Nodes

LDATS — 0.3.0

Latent Dirichlet Allocation Coupled with Time Series Analyses

ldatuning — 1.0.2

Tuning of the Latent Dirichlet Allocation Models Parameters

LDAvis — 0.3.2

Interactive Visualization of Topic Models

ldbod — 0.1.2

Local Density-Based Outlier Detection

ldbounds — 2.0.2

Lan-DeMets Method for Group Sequential Boundaries

LDcorSV — 1.3.3

Linkage Disequilibrium Corrected by the Structure and the Relatedness

lddmm — 0.4.2

Longitudinal Drift-Diffusion Mixed Models (LDDMM)

ldhmm — 0.6.1

Hidden Markov Model for Financial Time-Series Based on Lambda Distribution

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