All packages

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logisticRR — 0.3.0

Adjusted Relative Risk from Logistic Regression

logitFD — 1.0

Functional Principal Components Logistic Regression

logitnorm — 0.8.39

Functions for the Logitnormal Distribution

logitr — 1.1.2

Logit Models w/Preference & WTP Space Utility Parameterizations

logKDE — 0.3.2

Computing Log-Transformed Kernel Density Estimates for Positive Data

loglognorm — 1.0.2

Double Log Normal Distribution Functions

logmult — 0.7.4

Log-Multiplicative Models, Including Association Models

lognorm — 0.1.10

Functions for the Lognormal Distribution

logNormReg — 0.5-0

log Normal Linear Regression

logOfGamma — 0.0.1

Natural Logarithms of the Gamma Function for Large Values

logr — 1.3.8

Creates Log Files

LogRegEquiv — 0.1.5

Logistic Regression Equivalence

logrx — 0.3.1

A Logging Utility Focus on Clinical Trial Programming Workflows

logspline — 2.1.22

Routines for Logspline Density Estimation

lokern — 1.1-12

Kernel Regression Smoothing with Local or Global Plug-in Bandwidth

lolliplot — 0.2.2

Plot Variants and Somatic Mutations

lolog — 1.3.1

Latent Order Logistic Graph Models

lolR — 2.1

Linear Optimal Low-Rank Projection

LOMAR — 0.5.0

Localization Microscopy Data Analysis

lomb — 2.5.0

Lomb-Scargle Periodogram

long2lstmarray — 0.2.0

Longitudinal Dataframes into Arrays for Machine Learning Training

LongCART — 3.2

Recursive Partitioning for Longitudinal Data and Right Censored Data Using Baseline Covariates

longclust — 1.5

Model-Based Clustering and Classification for Longitudinal Data

LongDat — 1.1.3

A Tool for 'Covariate'-Sensitive Longitudinal Analysis on 'omics' Data

longevity — 1.1.1

Statistical Methods for the Analysis of Excess Lifetimes

longit — 0.1.0

High Dimensional Longitudinal Data Analysis Using MCMC

longitudinal — 1.1.13

Analysis of Multiple Time Course Data

longitudinalANAL — 0.2

Longitudinal Data Analysis

longitudinalcascade — 0.3.2.6

Longitudinal Cascade

longitudinalData — 2.4.7

Longitudinal Data

LongituRF — 0.9

Random Forests for Longitudinal Data

longke — 0.1.0

Nonparametric Predictive Model for Sparse and Irregular Longitudinal Data

longmemo — 1.1-3

Statistics for Long-Memory Processes (Book Jan Beran), and Related Functionality

LongMemoryTS — 0.1.0

Long Memory Time Series

longmixr — 1.0.0

Longitudinal Consensus Clustering with 'flexmix'

longpower — 1.0.27

Sample Size Calculations for Longitudinal Data

longreadvqs — 0.1.3

Viral Quasispecies Comparison from Long-Read Sequencing Data

longROC — 1.0

Time-Dependent Prognostic Accuracy with Multiply Evaluated Bio Markers or Scores

longRPart2 — 0.2.3

Recursive Partitioning of Longitudinal Data

longsurr — 1.0

Longitudinal Surrogate Marker Analysis

longurl — 0.3.3

Expand Short 'URLs'

loo — 2.8.0

Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models

lookout — 0.1.4

Leave One Out Kernel Density Estimates for Outlier Detection

lookup — 1.0

Functions Similar to VLOOKUP in Excel

lookupTable — 0.1

Look-Up Tables using S4

loon — 1.4.1

Interactive Statistical Data Visualization

loon.data — 0.1.3

Data Used to Illustrate 'Loon' Functionality

loon.ggplot — 1.3.4

A Grammar of Interactive Graphics

loon.shiny — 1.0.3

Automatically Create a 'Shiny' App Based on Interactive 'Loon' Widgets

loon.tourr — 0.1.4

Tour in 'Loon'

LoopAnalyst — 1.2-7

A Collection of Tools to Conduct Levins' Loop Analysis

LoopDetectR — 0.1.2

Comprehensive Feedback Loop Detection in ODE Models

LoopRig — 0.1.1

Integration and Analysis of Chromatin Loop Data

LOPART — 2024.6.19

Labeled Optimal Partitioning

lorad — 0.0.1.0

Lowest Radial Distance Method of Marginal Likelihood Estimation

lordif — 0.3-3

Logistic Ordinal Regression Differential Item Functioning using IRT

lorec — 0.6.1

LOw Rand and sparsE Covariance matrix estimation

lorem — 1.0.0

Generate Lorem Ipsum Text

lorentz — 1.1-1

The Lorentz Transform in Relativistic Physics

lorenz — 0.1.0

Tools for Deriving Income Inequality Estimates from Grouped Income Data

LorenzRegression — 2.1.0

Lorenz and Penalized Lorenz Regressions

lori — 2.2.3

Imputation of High-Dimensional Count Data using Side Information

LorMe — 1.1.0

Lightening One-Code Resolving Microbial Ecology Solution

LOST — 2.1.1

Missing Morphometric Data Simulation and Estimation

lotri — 1.0.0

A Simple Way to Specify Symmetric, Block Diagonal Matrices

lotterybr — 0.2.0

Lottery Datasets from Caixa Economica Federal

lovecraftr — 1.0.0

A Collection of Lovecraftian Tales and Texts

lowmemtkmeans — 0.1.2

Low Memory Use Trimmed K-Means

lowpassFilter — 1.0-2

Lowpass Filtering

LowRankQP — 1.0.6

Low Rank Quadratic Programming

LowWAFOMNX — 1.1.1

Low WAFOM Niederreiter-Xing Sequence

LowWAFOMSobol — 1.1.1

Low WAFOM Sobol Sequence

lpacf — 1.0.1

Local Partial Autocorrelation Function Estimation for Locally Stationary Wavelet Processes

LPBkg — 1.2

Detecting New Signals under Background Mismodelling

lpc — 1.0.2.1

Lassoed Principal Components for Testing Significance of Features

lpcde — 0.1.5

Boundary Adaptive Local Polynomial Conditional Density Estimator

LPCM — 0.47-6

Local Principal Curve Methods

lpda — 1.0.1

Linear Programming Discriminant Analysis

lpdensity — 2.5

Local Polynomial Density Estimation and Inference

LPDynR — 1.0.5

Land Productivity Dynamics Indicator

LPGraph — 2.1

Nonparametric Smoothing of Laplacian Graph Spectra

lphom — 0.3.5-5

Ecological Inference by Linear Programming under Homogeneity

lpint — 2.1

Local Polynomial Estimators of the Intensity Function and Its Derivatives

lpirfs — 0.2.3

Local Projections Impulse Response Functions

LPKsample — 2.1

LP Nonparametric High Dimensional K-Sample Comparison

lpl — 0.11

Local Partial Likelihood Estimation and Simultaneous Confidence Band

LPM — 3.2

Linear Parametric Models Applied to Hydrological Series

LPmerge — 1.7

Merging Linkage Maps by Linear Programming

LPower — 0.1.1

Calculates Power, Sample Size, or Detectable Effect for Longitudinal Analyses

LPRelevance — 3.3

Relevance-Integrated Statistical Inference Engine

lpridge — 1.1-0

Local Polynomial (Ridge) Regression

LPS — 1.0.16

Linear Predictor Score, for Binary Inference from Multiple Continuous Variables

LPsmooth — 0.1.3

LP Smoothed Inference and Graphics

lpSolve — 5.6.22

Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs

lpSolveAPI — 5.5.2.0-17.12

R Interface to 'lp_solve' Version 5.5.2.0

LPWC — 1.0.0

Lag Penalized Weighted Correlation for Time Series Clustering

LqG — 0.1.0

Robust Group Variable Screening Based on Maximum Lq-Likelihood Estimation

lqmix — 1.0

Linear Quantile Mixture Models

lqmm — 1.5.8

Linear Quantile Mixed Models

lqr — 5.2

Robust Linear Quantile Regression

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