R code and dataset for the paper on spatially functional data
-
Updated
Jun 14, 2020 - R
R code and dataset for the paper on spatially functional data
Fast Bayesian Inference in Large Graphical Models
Additive Covariance Modeling via Unconstrained Parametrization
R package for Partially Separable Multivariate Functional Data and Functional Graphical Models
A few statistical methods appropriate for applications in the biological and social sciences.
PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing
Mean and Covariance Matrix Estimation under Heavy Tails
General purpose correlation and covariance estimation
R Package: Regularized Principal Component Analysis for Spatial Data
Framework for estimating parameters and the empirical sandwich covariance matrix from a set of unbiased estimating equations (i.e. M-estimation) in R.
gips - Gaussian model Invariant by Permutation Symmetry
Add a description, image, and links to the covariance-estimation topic page so that developers can more easily learn about it.
To associate your repository with the covariance-estimation topic, visit your repo's landing page and select "manage topics."