Øystein Sørensen's repositories
BayesMallowsCpp
Pure C++ version of the R package BayesMallows. Used for experimentation with novel C++ features not supported by CRAN.
BGmisc
Contains many functions useful for behavior genetics
Copulas.jl
A fully `Distributions.jl`-compliant copula package
D3mirt
Descriptive 3D Item Response Theory Methods
dev_guide
rOpenSci Packages: Development, Maintenance, and Peer Review
digest
R package to create compact hash digests of R objects
docs
Documentation for the Stan language and CmdStan
ElectricGrid.jl
A time domain electrical energy grid modeling and simulation tool with a focus on the control of power electronics converters
findSVI
Calculate CDC/ATSDR Social Vulnerability Index
ggrain
{package} Make beautiful Raincloud plots in R!
hdt
Library for the Header Dictionary Triples (HDT) compression file format for RDF data.
iTensor
R package for ICA-based Matrix/Tensor Decomposition
keras
R Interface to Keras
libsoni
libsoni: A Python Toolbox for Sonifying Music Annotations and Feature Representations
lme4
Mixed-effects models in R using S4 classes and methods with RcppEigen
mgcv
:exclamation: This is a read-only mirror of the CRAN R package repository. mgcv — Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
mlpack
mlpack: a fast, header-only C++ machine learning library
pyro
Deep universal probabilistic programming with Python and PyTorch
pytorch-widedeep
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
quadkeyr
An R package designed to create raster images from QuadKey-identified data (Microsoft Bing Maps Tile System), aiming to simplify the analysis of Facebook mobility data.
r-devel-san-oyss
Docker image for testing R packages with C++ code.
rcpp4everyone_en
Rcpp for everyone
RcppEigen
Rcpp integration for the Eigen templated linear algebra library
statistical-software-review-book
Guide for development and peer-review of statistical software
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow