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knowledgerepo

R Interface to AirBnb's Knowledge Repository

konfound

R package for carrying out sensitivity analysis

krls

R package for machine learning technique to fit flexible, interpretable functional forms for continuous and binary outcomes.

kruschke-doing_bayesian_data_analysis

John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS

labhacks

Resources for data driven neuroscientists.

labmath

Functions for wet bench lab math

lam

Some Latent Variable Models

lassofdrpaper

Reproduces:

lassopv

Nonparametric P-Value Estimation for Predictors in Lasso

latent-variables-and-sum-scores

Raw files for a document examining the use of latent variable and sum scores for secondary analysis.

latentmediation

latticist

Automatically exported from code.google.com/p/latticist

lavaan

an R package for structural equation modeling and more

lavapenalty

lava plugin allowing regularization terms

lavareduce

Latent variable models with linear predictors

learn-r-the-easy-way-doc

Docs for editors

learnr

leekasso

Code for comparing the top 10 predictors to the lasso/debiased lasso

lfa

logistic factor analysis

libermate

LiberMate - A MATLAB to Python (SciPy/NumPy) Translator

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lime

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

linear-models-regression

R packages which implements most known linear regression model: pls, OLS, ridge, lasso, LAR, principal components regression...

lineup

R/lineup package to detect sample mix-ups between two sets of measurements

lineup2

R package to detect sample mix-ups between two sets of measurements

lintools

Tools for manipulating systems of linear (in)equalities

lintr

Static Code Analysis for R

live

Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN

lm2sls

Two-Stage Least-Squares Regression With Diagnostics

lme4cens

Mixed Effect Models and Censoring