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What documentation exists for R?

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Chapter 5: R Add-On Packages 47<br />

lgtdl A set of methods <strong>for</strong> longitudinal data objects.<br />

lhs Latin Hypercube Samples.<br />

limma LInear Models <strong>for</strong> MicroArray data.<br />

linprog Solve linear programming/linear optimization problems by using the simplex<br />

algorithm.<br />

lme4 Fit linear and generalized linear mixed-effects models.<br />

lmeSplines<br />

Fit smoothing spline terms in Gaussian linear and nonlinear mixed-effects models.<br />

lmm Linear mixed models.<br />

lmomco L-moments and L-comoments.<br />

lmtest A collection of tests on the assumptions of linear regression models from<br />

the book “The linear regression model under test” by W. Kraemer and H.<br />

Sonnberger, 1986, Physica.<br />

locfdr Computation of local false discovery rates.<br />

locfit Local Regression, likelihood and density estimation.<br />

lodplot Assorted plots of location score versus genetic map position.<br />

logcondens<br />

Estimate a log-concave probability density from i.i.d. observations.<br />

logistf Firth’s bias reduced logistic regression approach with penalized profile likelihood<br />

based confidence intervals <strong>for</strong> parameter estimates.<br />

logspline Logspline density estimation.<br />

lokern Kernel regression smoothing with adaptive local or global plug-in bandwidth<br />

selection.<br />

longmemo Datasets and Functionality from the textbook “Statistics <strong>for</strong> Long-Memory<br />

Processes” by J. Beran, 1994, Chapman & Hall.<br />

lpSolve Functions that solve general linear/integer problems, assignment problems, and<br />

transportation problems via interfacing Lp solve.<br />

lpridge Local polynomial (ridge) regression.<br />

lsa Latent Semantic Analysis.<br />

lspls LS-PLS (least squares — partial least squares) models.<br />

lss Accelerated failure time model to right censored data based on least-squares<br />

principle.<br />

ltm Analysis of multivariate Bernoulli data using latent trait models (including the<br />

Rasch model) under the Item Response Theory approach.<br />

lvplot Letter-value box plots.

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