R Package: Regularized Principal Component Analysis for Spatial Data
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Updated
Aug 26, 2024 - R
R Package: Regularized Principal Component Analysis for Spatial Data
fast and comprehensive k-mer counting package
An R implementation of the Gene Frequency - Inverse Cell Frequency method for single cell data normalization
R Package: Regularized Spatial Maximum Covariance Analysis
Workshop de Rcpp ministrado em 11/2020
A tutorial from R interfacing to C, Rcpp to RcppArmadillo and RcppParallel
public speaking: talks & workshops
R package for unbalanced optimal transport
This repo contains the codes in R and Cpp to replicate the original proposal of Linkletter for Bayesian Spatial Process Models for Social Network Analysis and our proposal using an estimation of the likelihood function.
R Package: Regularized Spatial Maximum Covariance Analysis
R Package: Regularized Principal Component Analysis for Spatial Data
Como fazer seu código R ficar mais rápido com Rcpp
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