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R Graphics Devices for Vector Graphics Output
Vector Graphics devices for Microsoft PowerPoint and Excel. Functions extending package 'officer' are provided to embed 'DrawingML' graphics into 'Microsoft PowerPoint' presentations and 'Microsoft Excel' workbooks.
Manipulating Labelled Data
Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or 'foreign'. This package provides useful functions to deal with "haven_labelled" and "haven_labelled_spss" classes introduced by 'haven' package.
Interactive Maps with R and Leaflet
Nonparametric Depth Functions for Multivariate Analysis
Tools for depth functions methodology applied to multivariate analysis. Besides allowing calculation of depth values and depth-based location estimators, the package includes functions or drawing contour plots and perspective plots of depth functions. Euclidian and spherical depths are supported.
Cytometric diversity indices
Calculates ecological diversity indices for a microbial community
Interface to the 'Open Tree of Life' API
An interface to the 'Open Tree of Life' API to retrieve phylogenetic trees, information about studies used to assemble the synthetic tree, and utilities to match taxonomic names to 'Open Tree identifiers'. The 'Open Tree of Life' aims at assembling a comprehensive phylogenetic tree for all named species.
R Interface to 'Keras'
Interface to 'Keras' < https://keras.io>, a high-level neural networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.
Working with Dynamic Models for Agriculture and Environment
R package accompanying the book Working with dynamic models for agriculture and environment, by Daniel Wallach (INRA), David Makowski (INRA), James W. Jones (U.of Florida), Francois Brun (ACTA). 3rd edition 2018-09-27.
Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen'
Fits generalized linear models efficiently using 'RcppEigen'. The iteratively reweighted least squares
implementation utilizes the step-halving approach of Marschner (2011)
Fast Linear Models for Objects from the 'bigmemory' Package
A reimplementation of the fastLm() functionality of 'RcppEigen' for big.matrix objects for fast out-of-memory linear model fitting.