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Interface for Masked Autoregressive Flows
Interfaces the Python library 'zuko' implementing Masked Autoregressive Flows. See Rozet, Divo and Schnake (2023)
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.
GPL Palettes Copied from 'Gimp' and 'Inkscape'
A set of palettes imported from 'Gimp' distributed under GPL3 (< https://www.gimp.org/about/COPYING>), and 'Inkscape' distributed under GPL2 (< https://inkscape.org/about/license/>).
Perform Factorial Analysis from 'FactoMineR' with a Shiny Application
Perform factorial analysis with a menu and draw graphs interactively thanks to 'FactoMineR' and a Shiny application.
Coalescent-Based Simulation of Ecological Communities
Coalescent-Based Simulation of Ecological Communities as proposed
by Munoz et al. (2018)
Data Only: Tools for Approximate Bayesian Computation (ABC)
Contains data which are used by functions of the 'abc' package.
Tools for Eurostat Open Data
Tools to download data from the Eurostat database < https://ec.europa.eu/eurostat> together with search and manipulation utilities.
Auto-Adaptive Parentage Inference Software Tolerant to Missing Parents
Parentage assignment package. Parentage assignment is performed based on observed average Mendelian transmission probability distributions or Exclusion. The main functions of this package are the function APIS_2n(), APIS_3n() and launch_APIShiny(), which perform parentage assignment.
Provides Progress Bars in 'knitr'
Provides a progress bar similar to 'dplyr' that can write progress out to a variety of locations, including stdout(), stderr(), or from file(). Useful when using 'knitr' or 'rmarkdown', and you still want to see progress of calculations in the terminal.
Hidden Smooth Polynomial Regression for Rupture Detection
Several functions that allow by different methods to infer a piecewise polynomial regression model under regularity constraints, namely continuity or differentiability of the link function. The implemented functions are either specific to data with two regimes, or generic for any number of regimes, which can be given by the user or learned by the algorithm. A paper describing all these methods will be submitted soon. The reference will be added to this file as soon as available.