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r-osmar
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public |
This package provides infrastructure to access OpenStreetMap data from different sources, to work with the data in common R manner, and to convert data into available infrastructure provided by existing R packages (e.g., into sp and igraph objects).
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2025-03-25 |
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r-networkd3
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public |
Creates 'D3' 'JavaScript' network, tree, dendrogram, and Sankey graphs from 'R'.
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2025-03-25 |
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r-multgee
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public |
GEE solver for correlated nominal or ordinal multinomial responses using a local odds ratios parameterization.
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2025-03-25 |
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r-maxlik
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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.
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2025-03-25 |
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r-mailr
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public |
Interface to Apache Commons Email to send emails from R.
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2025-03-25 |
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r-loa
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public |
Various plots and functions that make use of the lattice/trellis plotting framework. The plots, which include loaPlot(), GoogleMap() and trianglePlot(), use panelPal(), a function that extends 'lattice' and 'hexbin' package methods to automate plot subscript and panel-to-panel and panel-to-key synchronization/management.
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2025-03-25 |
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r-lava
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public |
A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2019) <doi:10.1093/biostatistics/kxy082>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.
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2025-03-25 |
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r-irdisplay
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public |
An interface to the rich display capabilities of 'Jupyter' front-ends (e.g. 'Jupyter Notebook') <https://jupyter.org>. Designed to be used from a running 'IRkernel' session <https://irkernel.github.io>.
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2025-03-25 |
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r-htmltable
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public |
Tables with state-of-the-art layout elements such as row spanners, column spanners, table spanners, zebra striping, and more. While allowing advanced layout, the underlying css-structure is simple in order to maximize compatibility with word processors such as 'MS Word' or 'LibreOffice'. The package also contains a few text formatting functions that help outputting text compatible with HTML/LaTeX.
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2025-03-25 |
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r-ggm
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public |
Functions and datasets for maximum likelihood fitting of some classes of graphical Markov models.
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2025-03-25 |
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r-furrr
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public |
Implementations of the family of map() functions from 'purrr' that can be resolved using any 'future'-supported backend, e.g. parallel on the local machine or distributed on a compute cluster.
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2025-03-25 |
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r-fitdistrplus
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public |
Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME) and maximum goodness-of-fit estimation (MGE) methods (available only for non-censored data). Weighted versions of MLE, MME and QME are available. See e.g. Casella & Berger (2002). Statistical inference. Pacific Grove.
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2025-03-25 |
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r-ecfun
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public |
Functions to update data sets in Ecdat and to create, manipulate, plot and analyze those and similar data sets.
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2025-03-25 |
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r-dygraphs
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public |
An R interface to the 'dygraphs' JavaScript charting library (a copy of which is included in the package). Provides rich facilities for charting time-series data in R, including highly configurable series- and axis-display and interactive features like zoom/pan and series/point highlighting.
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2025-03-25 |
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r-drr
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public |
An Implementation of Dimensionality Reduction via Regression using Kernel Ridge Regression.
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2025-03-25 |
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r-diffusionmap
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public |
Implements diffusion map method of data parametrization, including creation and visualization of diffusion map, clustering with diffusion K-means and regression using adaptive regression model.
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2025-03-25 |
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r-chemometrics
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public |
R companion to the book "Introduction to Multivariate Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009).
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2025-03-25 |
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r-cellranger
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public |
Helper functions to work with spreadsheets and the "A1:D10" style of cell range specification.
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2025-03-25 |
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r-arm
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public |
Functions to accompany A. Gelman and J. Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2007.
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2025-03-25 |
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r-vegan
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public |
Ordination methods, diversity analysis and other functions for community and vegetation ecologists.
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2025-03-25 |
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r-ttr
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public |
Functions and data to construct technical trading rules with R.
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2025-03-25 |
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r-tmb
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public |
With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
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2025-03-25 |
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r-tibble
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public |
Provides a 'tbl_df' class (the 'tibble') that provides stricter checking and better formatting than the traditional data frame.
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2025-03-25 |
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r-text2vec
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public |
Fast and memory-friendly tools for text vectorization, topic modeling (LDA, LSA), word embeddings (GloVe), similarities. This package provides a source-agnostic streaming API, which allows researchers to perform analysis of collections of documents which are larger than available RAM. All core functions are parallelized to benefit from multicore machines.
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2025-03-25 |
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r-satellite
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public |
Herein, we provide a broad variety of functions which are useful for handling, manipulating, and visualizing satellite-based remote sensing data. These operations range from mere data import and layer handling (eg subsetting), over Raster* typical data wrangling (eg crop, extend), to more sophisticated (pre-)processing tasks typically applied to satellite imagery (eg atmospheric and topographic correction). This functionality is complemented by a full access to the satellite layers' metadata at any stage and the documentation of performed actions in a separate log file. Currently available sensors include Landsat 4-5 (TM), 7 (ETM+), and 8 (OLI/TIRS Combined), and additional compatibility is ensured for the Landsat Global Land Survey data set. Moreover, support for Terra and Aqua-MODIS as well as PROBA-V is expected to arrive shortly.
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2025-03-25 |
