|
r-mapdata
|
public |
Supplement to maps package, providing the larger and/or higher-resolution databases.
|
2025-03-25 |
|
r-lubridate
|
public |
Functions to work with date-times and time-spans: fast and user friendly parsing of date-time data, extraction and updating of components of a date-time (years, months, days, hours, minutes, and seconds), algebraic manipulation on date-time and time-span objects. The 'lubridate' package has a consistent and memorable syntax that makes working with dates easy and fun. Parts of the 'CCTZ' source code, released under the Apache 2.0 License, are included in this package. See <https://github.com/google/cctz> for more details.
|
2025-03-25 |
|
r-ltsa
|
public |
Methods of developing linear time series modelling. Methods are given for loglikelihood computation, forecasting and simulation.
|
2025-03-25 |
|
r-lsei
|
public |
It contains functions that solve least squares linear regression problems under linear equality/inequality constraints. Functions for solving quadratic programming problems are also available, which transform such problems into least squares ones first. It is developed based on the 'Fortran' program of Lawson and Hanson (1974, 1995), which is public domain and available at <http://www.netlib.org/lawson-hanson>.
|
2025-03-25 |
|
r-lpsolve
|
public |
Lp_solve is freely available (under LGPL 2) software for solving linear, integer and mixed integer programs. In this implementation we supply a "wrapper" function in C and some R functions that solve general linear/integer problems, assignment problems, and transportation problems. This version calls lp_solve version 5.5.
|
2025-03-25 |
|
r-lokern
|
public |
Kernel regression smoothing with adaptive local or global plug-in bandwidth selection.
|
2025-03-25 |
|
r-loe
|
public |
Local Ordinal embedding (LOE) is one of graph embedding methods for unweighted graphs.
|
2025-03-25 |
|
r-lmtest
|
public |
A collection of tests, data sets, and examples for diagnostic checking in linear regression models. Furthermore, some generic tools for inference in parametric models are provided.
|
2025-03-25 |
|
r-limsolve
|
public |
Functions that (1) find the minimum/maximum of a linear or quadratic function: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(a_i*x_i) subject to equality constraints Ex=f and/or inequality constraints Gx>=h, (2) sample an underdetermined- or overdetermined system Ex=f subject to Gx>=h, and if applicable Ax~=b, (3) solve a linear system Ax=B for the unknown x. It includes banded and tridiagonal linear systems. The package calls Fortran functions from 'LINPACK'.
|
2025-03-25 |
|
r-libcoin
|
public |
Basic infrastructure for linear test statistics and permutation inference in the framework of Strasser and Weber (1999) <http://epub.wu.ac.at/102/>. This package must not be used by end-users. CRAN package 'coin' implements all user interfaces and is ready to be used by anyone.
|
2025-03-25 |
|
r-lhs
|
public |
Provides a number of methods for creating and augmenting Latin Hypercube Samples.
|
2025-03-25 |
|
r-leaps
|
public |
Regression subset selection, including exhaustive search.
|
2025-03-25 |
|
r-lda
|
public |
Implements latent Dirichlet allocation (LDA) and related models. This includes (but is not limited to) sLDA, corrLDA, and the mixed-membership stochastic blockmodel. Inference for all of these models is implemented via a fast collapsed Gibbs sampler written in C. Utility functions for reading/writing data typically used in topic models, as well as tools for examining posterior distributions are also included.
|
2025-03-25 |
|
r-lbfgsb3
|
public |
Interfacing to Nocedal et al. L-BFGS-B.3.0 (2011) limited memory BFGS minimizer with bounds on parameters.
|
2025-03-25 |
|
r-lbfgs
|
public |
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implements both the Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) and the Orthant-Wise Quasi-Newton Limited-Memory (OWL-QN) optimization algorithms. The L-BFGS algorithm solves the problem of minimizing an objective, given its gradient, by iteratively computing approximations of the inverse Hessian matrix. The OWL-QN algorithm finds the optimum of an objective plus the L1-norm of the problem's parameters. The package offers a fast and memory-efficient implementation of these optimization routines, which is particularly suited for high-dimensional problems.
|
2025-03-25 |
|
r-lazyeval
|
public |
An alternative approach to non-standard evaluation using formulas. Provides a full implementation of LISP style 'quasiquotation', making it easier to generate code with other code.
|
2025-03-25 |
|
r-lattice
|
public |
A powerful and elegant high-level data visualization system inspired by Trellis graphics, with an emphasis on multivariate data. Lattice is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.
|
2025-03-25 |
|
r-later
|
public |
Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied.
|
2025-03-25 |
|
r-lasso2
|
public |
Routines and documentation for solving regression problems while imposing an L1 constraint on the estimates, based on the algorithm of Osborne et al. (1998).
|
2025-03-25 |
|
r-lars
|
public |
Efficient procedures for fitting an entire lasso sequence with the cost of a single least squares fit. Least angle regression and infinitesimal forward stagewise regression are related to the lasso, as described in the paper below.
|
2025-03-25 |
|
r-lamw
|
public |
Implements both real-valued branches of the Lambert-W function, also known as the product logarithm, without the need for installing the entire GSL.
|
2025-03-25 |
|
r-ksamples
|
public |
Compares k samples using the Anderson-Darling test, Kruskal-Wallis type tests with different rank score criteria, Steel's multiple comparison test, and the Jonckheere-Terpstra (JT) test. It computes asymptotic, simulated or (limited) exact P-values, all valid under randomization, with or without ties, or conditionally under random sampling from populations, given the observed tie pattern. Except for Steel's test and the JT test it also combines these tests across several blocks of samples. Also analyzed are 2 x t contingency tables and their blocked combinations using the Kruskal-Wallis criterion. Steel's test is inverted to provide simultaneous confidence bounds for shift parameters. A plotting function compares tail probabilities obtained under asymptotic approximation with those obtained via simulation or exact calculations.
|
2025-03-25 |
|
r-kohonen
|
public |
Functions to train self-organising maps (SOMs). Also interrogation of the maps and prediction using trained maps are supported. The name of the package refers to Teuvo Kohonen, the inventor of the SOM.
|
2025-03-25 |
|
r-kfksds
|
public |
Naive implementation of the Kalman filter, smoother and disturbance smoother for state space models.
|
2025-03-25 |
|
r-kfas
|
public |
State space modelling is an efficient and flexible framework for statistical inference of a broad class of time series and other data. KFAS includes computationally efficient functions for Kalman filtering, smoothing, forecasting, and simulation of multivariate exponential family state space models, with observations from Gaussian, Poisson, binomial, negative binomial, and gamma distributions. See the paper by Helske (2017) <doi:10.18637/jss.v078.i10> for details.
|
2025-03-25 |
