Rcpp integration for the Armadillo templated linear algebra library

High performance raster conversion for modern spatial data 🚀🌏▦

Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python

Converters between Armadillo matrices (C++) and Numpy arrays using Pybind11

Rcpp integration for the Ensmallen templated C++ mathematical optimization library

Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.

An R package for predicting ploidal level from sequence data using site-based heterozygosity 

multinomial random effects

Probabilistic inference of somatic copy number alterations using repeat DNA (FAST-SeqS)

R package for fitting hidden Markov cognitive diagnosis models for learning.

R Package: Regularized Spatial Maximum Covariance Analysis

Jointly model the accuracy of cognitive responses and item choices within a bayesian hierarchical framework as described by Culpepper and Balamuta (2015) <doi:10.1007/s11336-015-9484-7>. In addition, the package contains the datasets used within the analysis of the paper.

C++ Implementation of poLCA (R package)

Perform a Bayesian estimation of the exploratory Sparse Latent Class Model for Binary Data described by Chen, Y., Culpepper, S. A., and Liang, F. (2020) <https://doi.org/10.1007/s11336-019-09693-2>

R package containing helpful functions for dealing with spatial data and concliques.

fitting multievent capture-recapture model with Rcpp

Kernel Dimension Reduction with RcppArmadillo

An R wrapper for the optimlib library

Efficient sampling of normal posterior distributions

R package that creates Bayesian I- and D-optimal designs for choice models involving mixtures of ingredient proportions