Sparse Covariance Estimation Based on Thresholding

Estimate Dynamic Factor Models with Sparse Loadings

R Interface to the 'SparseDiffEngine' Sparse Differentiation
Backend

Sparse and Regularized Discriminant Analysis

Computation of Sparse Eigenvectors of a Matrix

Functional Linear Mixed Models for Irregularly or Sparsely
Sampled Data

Sparse Generalized Factor Models with Multiple Penalty Functions

Design of Portfolio of Stocks to Track an Index
R package sparseIndexTracking version 0.1.1

Computation of the Sparse Inverse Subset

Interface to the 'sparseLM' Levenberg-Marquardt Library

The Sparse Latent Position Model for Nonnegative Interaction
Data

Represent and Use Sparse + Low Rank Matrices

RcppEigen back end for sparse least trimmed squares regression
R package sparseLTSEigen version 0.2.0.1

'Multiple Systems Estimation for Sparse Capture Data'

Multivariate Normal Functions for Sparse Covariance and
Precision Matrices

Fit Sparse Linear Regression Models via Nonconvex Optimization

Sparse Principal Component Analysis (SPCA)

Variable Selection under Ranked Sparsity Principles for
Interactions and Polynomials
R package sparseR version 0.3.2

Elastic Net Penalized Maximum Likelihood for Structural Equation
Models with Network GPT Framework
R package sparseSEM version 4.1

Forecasting and Early Outbreak Detection for Sparse Count Data

Sparse Truncated Singular Value Decomposition (from 'SVDLIBC')

Solution Paths of Sparse High-Dimensional Support Vector Machine
with Lasso or Elastic-Net Regularization
R package sparseSVM version 1.1-7

Sparse Time Series Chain Graphical Models

Sparse VAR (Vector Autoregression) / VECM (Vector Error
Correction Model) Estimation
R package sparsevar version 1.0.0

Spike-and-Slab Variational Bayes for Linear and Logistic
Regression

Sparse Varying Coefficient BART with Global-Local Priors"

Sparse Vector Field Consensus for Vector Field Learning

Statistical Pattern Recognition and daTing using Archaeological
Artefacts assemblageS
R package SPARTAAS version 1.2.7

Variance Identification in Sparse Factor Analysis