All packages

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lqr — 5.2

Robust Linear Quantile Regression

LRcontrast — 1.0

Dose Response Signal Detection under Model Uncertainty

lrd — 0.1.0

A Package for Processing Lexical Response Data

LREP — 0.1.1

Estimate and Test Exponential vs. Pareto Distributions

lrequire — 0.1.3

Sources an R "Module" with Caching & Encapsulation, Returning Exported Vars

lrgs — 0.5.4

Linear Regression by Gibbs Sampling

lrmest — 3.0

Different Types of Estimators to Deal with Multicollinearity

LRMF3 — 0.1.0

Low Rank Matrix Factorization S3 Objects

lrstat — 0.2.9

Power and Sample Size Calculation for Non-Proportional Hazards and Beyond

LRTesteR — 1.2.1

Likelihood Ratio Tests and Confidence Intervals

LS2W — 1.3.6

Locally Stationary Two-Dimensional Wavelet Process Estimation Scheme

LS2Wstat — 2.1-5

A Multiscale Test of Spatial Stationarity for LS2W Processes

lsa — 0.73.3

Latent Semantic Analysis

LSAfun — 0.7.1

Applied Latent Semantic Analysis (LSA) Functions

LSAmitR — 1.0-3

Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit R'

lsasim — 2.1.5

Functions to Facilitate the Simulation of Large Scale Assessment Data

lsbclust — 1.1

Least-Squares Bilinear Clustering for Three-Way Data

lsbs — 0.1

Bandwidth Selection for Level Sets and HDR Estimation

LSD — 4.1-0

Lots of Superior Depictions

lsdbc — 0.1.0

Locally Scaled Density Based Clustering

LSDinterface — 1.2.2

Interface Tools for LSD Simulation Results Files

LSDirf — 0.1.3

Impulse-Response Function Analysis for Agent-Based Models

LSDsensitivity — 1.3.0

Sensitivity Analysis Tools for LSD Simulations

LSE — 1.0.0

Constrained Least Squares and Generalized QR Factorization

LSEbootLS — 0.1.0

Bootstrap Methods for Regression Models with Locally Stationary Errors

lsei — 1.3-0

Solving Least Squares or Quadratic Programming Problems under Equality/Inequality Constraints

lsirm12pl — 1.3.3

Latent Space Item Response Model

lsl — 0.5.6

Latent Structure Learning

lslx — 0.6.11

Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood or Least Squares

lsm — 0.2.1.4

Estimation of the log Likelihood of the Saturated Model

lsmeans — 2.30-0

Least-Squares Means

LSMonteCarlo — 1.0

American options pricing with Least Squares Monte Carlo method

LSMRealOptions — 0.2.1

Value American and Real Options Through LSM Simulation

lsnstat — 1.0.1

'La Societe Nouvelle' API Access

lspartition — 0.4

Nonparametric Estimation and Inference Procedures using Partitioning-Based Least Squares Regression

LSPFP — 1.0.3

Lysate and Secretome Peptide Feature Plotter

lspline — 1.0-0

Linear Splines with Convenient Parametrisations

lspls — 0.2-2

LS-PLS Models

lsr — 0.5.2

Companion to "Learning Statistics with R"

LSRS — 0.2.0

Land Surface Remote Sensing

lss2 — 1.1

The Accelerated Failure Time Model to Right Censored Data Based on Least-Squares Principle

LST — 1.1.0

Land Surface Temperature Retrieval for Landsat 8

LSTbook — 0.5.0

Data and Software for "Lessons in Statistical Thinking"

LSTS — 2.1

Locally Stationary Time Series

LSVAR — 1.2

Estimation of Low Rank Plus Sparse Structured Vector Auto-Regressive (VAR) Model

LSWPlib — 0.1.0

Simulation and Spectral Estimation of Locally Stationary Wavelet Packet Processes

LSX — 1.4.0

Semi-Supervised Algorithm for Document Scaling

ltable — 2.0.4

Easy to Make (Lazy) Tables

LTAR — 0.1.0

Tensor Forecasting Functions

LTASR — 0.1.4

Functions to Replicate the Center for Disease Control and Prevention's 'LTAS' Software in R

LTCDM — 1.0.0

Latent Transition Cognitive Diagnosis Model with Covariates

lterdatasampler — 0.1.1

Educational Dataset Examples from the Long Term Ecological Research Program

lterpalettefinder — 1.1.0

Extract Color Palettes from Photos and Pick Official LTER Palettes

ltertools — 1.1.0

Tools Developed by the Long Term Ecological Research Community

LTFHPlus — 2.1.1

Implementation of LT-FH++

ltm — 1.2-0

Latent Trait Models under IRT

ltmix — 0.2.2

Left-Truncated Mixtures of Gamma, Weibull, and Lognormal Distributions

ltmle — 1.3-0

Longitudinal Targeted Maximum Likelihood Estimation

LTPDvar — 1.2.1

LTPD and AOQL Plans for Acceptance Sampling Inspection by Variables

LTRCforests — 0.7.0

Ensemble Methods for Survival Data with Time-Varying Covariates

LTRCtrees — 1.1.1

Survival Trees to Fit Left-Truncated and Right-Censored and Interval-Censored Survival Data

ltsa — 1.4.6.1

Linear Time Series Analysis

ltsk — 1.1.2

Local Time Space Kriging

ltsspca — 0.1.0

Sparse Principal Component Based on Least Trimmed Squares

ltxsparklines — 1.1.3

Lightweight Sparklines for a LaTeX Document

luajr — 0.1.8

'LuaJIT' Scripting

lubridate — 1.9.3

Make Dealing with Dates a Little Easier

luca — 1.0-6

Likelihood Inference from Case-Control Data under Covariate Assumptions

lucas — 1.0

Package to Download and Create the DB of LUCAS Data Harmonized

lucid — 1.8

Printing Floating Point Numbers in a Human-Friendly Format

LUCIDus — 3.0.2

LUCID with Multiple Omics Data

ludic — 0.2.0

Linkage Using Diagnosis Codes

lue — 0.2.1

Light Use Efficiency Model to Estimate Biomass and YIELD with and Without Vapour Pressure Deficit

lulab.utils — 0.0.2

Supporting Functions Maintained by Zhen Lu

lulcc — 1.0.4

Land Use Change Modelling in R

lumberjack — 1.3.1

Track Changes in Data

Luminescence — 0.9.25

Comprehensive Luminescence Dating Data Analysis

lunar — 0.2-1

Calculate Lunar Phase & Distance, Seasons and Related Environmental Factors

lutz — 0.3.2

Look Up Time Zones of Point Coordinates

luz — 0.4.0

Higher Level 'API' for 'torch'

luzlogr — 0.2.1

Lightweight Logging for R Scripts

LVGP — 2.1.5

Latent Variable Gaussian Process Modeling with Qualitative and Quantitative Input Variables

lvmcomp — 1.2

Stochastic EM Algorithms for Latent Variable Models with a High-Dimensional Latent Space

lvmisc — 0.1.2

Veras Miscellaneous

lvnet — 0.3.5

Latent Variable Network Modeling

lvplot — 0.2.1

Letter Value 'Boxplots'

LW1949 — 1.1.0

An Automated Approach to Evaluating Dose-Effect Experiments Following Litchfield and Wilcoxon (1949)

LWFBrook90R — 0.6.0

Simulate Evapotranspiration and Soil Moisture with the SVAT Model LWF-Brook90

lwgeom — 0.2-14

Bindings to Selected 'liblwgeom' Functions for Simple Features

lwqs — 0.5.0

Lagged Weighted Quantile Sum Regression

LZeroSpikeInference — 1.0.3

Exact Spike Train Inference via L0 Optimization

lzstring — 0.1.2

Wrapper for 'lz-string' 'C++' Library

m2b — 1.0

Movement to Behaviour Inference using Random Forest

m2r — 1.0.2

Interface to 'Macaulay2'

M2SMF — 2.0

Multi-Modal Similarity Matrix Factorization for Integrative Multi-Omics Data Analysis

M2SMJF — 1.0

Multi-Modal Similarity Matrix Joint Factorization

M3 — 0.4

Reading M3 Files

M3JF — 0.1.0

Multi-Modal Matrix Joint Factorization for Integrative Multi-Omics Data Analysis

m5 — 0.1.1

'M5 Forecasting' Challenges Data

m61r — 0.0.3

Package About Data Manipulation in Pure Base R

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