|
r-oce
|
public |
Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature.
|
2025-03-25 |
|
r-nycflights13
|
public |
Airline on-time data for all flights departing NYC in 2013. Also includes useful 'metadata' on airlines, airports, weather, and planes.
|
2025-03-25 |
|
r-numderiv
|
public |
Methods for calculating (usually) accurate numerical first and second order derivatives. Accurate calculations are done using 'Richardson''s' extrapolation or, when applicable, a complex step derivative is available. A simple difference method is also provided. Simple difference is (usually) less accurate but is much quicker than 'Richardson''s' extrapolation and provides a useful cross-check. Methods are provided for real scalar and vector valued functions.
|
2025-03-25 |
|
r-nmf
|
public |
Provides a framework to perform Non-negative Matrix Factorization (NMF). The package implements a set of already published algorithms and seeding methods, and provides a framework to test, develop and plug new/custom algorithms. Most of the built-in algorithms have been optimized in C++, and the main interface function provides an easy way of performing parallel computations on multicore machines.
|
2025-03-25 |
|
r-nlp
|
public |
Basic classes and methods for Natural Language Processing.
|
2025-03-25 |
|
r-nloptr
|
public |
nloptr is an R interface to NLopt. NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. See http://ab-initio.mit.edu/wiki/index.php/NLopt_Introduction for more information on the available algorithms. During installation on Unix the NLopt code is downloaded and compiled from the NLopt website.
|
2025-03-25 |
|
r-networkd3
|
public |
Creates 'D3' 'JavaScript' network, tree, dendrogram, and Sankey graphs from 'R'.
|
2025-03-25 |
|
r-mvtnorm
|
public |
Computes multivariate normal and t probabilities, quantiles, random deviates and densities.
|
2025-03-25 |
|
r-munsell
|
public |
Provides easy access to, and manipulation of, the Munsell colours. Provides a mapping between Munsell's original notation (e.g. "5R 5/10") and hexadecimal strings suitable for use directly in R graphics. Also provides utilities to explore slices through the Munsell colour tree, to transform Munsell colours and display colour palettes.
|
2025-03-25 |
|
r-multcomp
|
public |
Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
|
2025-03-25 |
|
r-mongolite
|
public |
High-performance 'MongoDB' client based on 'libmongoc' and 'jsonlite'. Includes support for aggregation, indexing, map-reduce, streaming, encryption, enterprise authentication. The online user manual provides an overview of the available methods in the package: <https://jeroen.github.io/mongolite/>.
|
2025-03-25 |
|
r-modeltools
|
public |
A collection of tools to deal with statistical models. The functionality is experimental and the user interface is likely to change in the future. The documentation is rather terse, but packages `coin' and `party' have some working examples. However, if you find the implemented ideas interesting we would be very interested in a discussion of this proposal. Contributions are more than welcome!
|
2025-03-25 |
|
r-modelr
|
public |
Functions for modelling that help you seamlessly integrate modelling into a pipeline of data manipulation and visualisation.
|
2025-03-25 |
|
r-modelmetrics
|
public |
Collection of metrics for evaluating models written in C++ using 'Rcpp'.
|
2025-03-25 |
|
r-mnormt
|
public |
Functions are provided for computing the density and the distribution function of multivariate normal and "t" random variables, and for generating random vectors sampled from these distributions. Probabilities are computed via non-Monte Carlo methods; different routines are used in the case d=1, d=2, d>2, if d denotes the number of dimensions.
|
2025-03-25 |
|
r-mlmrev
|
public |
Data and examples from a multilevel modelling software review as well as other well-known data sets from the multilevel modelling literature.
|
2025-03-25 |
|
r-misctools
|
public |
Miscellaneous small tools and utilities. Many of them facilitate the work with matrices, e.g. inserting rows or columns, creating symmetric matrices, or checking for semidefiniteness. Other tools facilitate the work with regression models, e.g. extracting the standard errors, obtaining the number of (estimated) parameters, or calculating R-squared values.
|
2025-03-25 |
|
r-minqa
|
public |
Derivative-free optimization by quadratic approximation based on an interface to Fortran implementations by M. J. D. Powell.
|
2025-03-25 |
|
r-miniui
|
public |
Provides UI widget and layout functions for writing Shiny apps that work well on small screens.
|
2025-03-25 |
|
r-mime
|
public |
Guesses the MIME type from a filename extension using the data derived from /etc/mime.types in UNIX-type systems.
|
2025-03-25 |
|
r-microbenchmark
|
public |
Provides infrastructure to accurately measure and compare the execution time of R expressions.
|
2025-03-25 |
|
r-memoise
|
public |
Cache the results of a function so that when you call it again with the same arguments it returns the pre-computed value.
|
2025-03-25 |
|
r-maxlik
|
public |
Functions for Maximum Likelihood (ML) estimation and non-linear optimization, and related tools. It includes a unified way to call different optimizers, and classes and methods to handle the results from the ML viewpoint. It also includes a number of convenience tools for testing and developing your own models.
|
2025-03-25 |
|
r-matrixmodels
|
public |
Modelling with sparse and dense 'Matrix' matrices, using modular prediction and response module classes.
|
2025-03-25 |
|
r-markdown
|
public |
Provides R bindings to the 'Sundown' 'Markdown' rendering library (https://github.com/vmg/sundown). 'Markdown' is a plain-text formatting syntax that can be converted to 'XHTML' or other formats. See http://en.wikipedia.org/wiki/Markdown for more information about 'Markdown'.
|
2025-03-25 |
