<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Software on Florian Hartig</title><link>https://florianhartig.github.io/software/</link><description>Recent content in Software on Florian Hartig</description><generator>Hugo</generator><language>en-GB</language><atom:link href="https://florianhartig.github.io/software/index.xml" rel="self" type="application/rss+xml"/><item><title>DHARMa</title><link>https://florianhartig.github.io/software/dharma/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://florianhartig.github.io/software/dharma/</guid><description>An R package for residual diagnostics for hierarchical (multi-level / mixed) regression models.</description></item><item><title>BayesianTools</title><link>https://florianhartig.github.io/software/bayesiantools/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://florianhartig.github.io/software/bayesiantools/</guid><description>An R package for the Bayesian calibration of process-based models.</description></item><item><title>sjSDM</title><link>https://florianhartig.github.io/software/sjsdm/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://florianhartig.github.io/software/sjsdm/</guid><description>Scalable joint species distribution modelling, estimating the full species covariance matrix rather than approximating it.</description></item><item><title>cito</title><link>https://florianhartig.github.io/software/cito/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://florianhartig.github.io/software/cito/</guid><description>Deep neural networks in R with ordinary formula syntax, plus the explainable-AI tools needed to interpret them.</description></item><item><title>rLPJGUESS</title><link>https://florianhartig.github.io/software/rlpjguess/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://florianhartig.github.io/software/rlpjguess/</guid><description>An R wrapper around the LPJ-GUESS dynamic global vegetation model, with support for parallel runs.</description></item><item><title>ProfoundData</title><link>https://florianhartig.github.io/software/profounddata/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://florianhartig.github.io/software/profounddata/</guid><description>The PROFOUND database of European forest data, for calibrating, validating and benchmarking vegetation models.</description></item><item><title>threePGN</title><link>https://florianhartig.github.io/software/threepgn/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://florianhartig.github.io/software/threepgn/</guid><description>A Fortran implementation of the 3PGN forest growth model, callable from R.</description></item><item><title>NUCOMBog</title><link>https://florianhartig.github.io/software/nucombog/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://florianhartig.github.io/software/nucombog/</guid><description>A model of vegetation, carbon, nitrogen and water dynamics in undisturbed open bog ecosystems.</description></item></channel></rss>