rPackages

'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)

'Rcpp' Interface to 'sparsepp'

Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials

Sparse Bayesian Models for Regression, Subgroup Analysis, and Panel Data

Elastic Net Penalized Maximum Likelihood for Structural Equation Models with Network GPT Framework

SparseStep Regression

Sparse Truncated Singular Value Decomposition (from 'SVDLIBC')

Solution Paths of Sparse High-Dimensional Support Vector Machine with Lasso or Elastic-Net Regular…

Sparse Time Series Chain Graphical Models

Sparse VAR/VECM Models Estimation

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

Sparse Vectors for Use in Data Frames

Sparse Vector Field Consensus for Vector Field Learning

I/O Operations with Sparse Matrices

Sparse Tables

Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS

Variance Identification in Sparse Factor Analysis

Stratified-Petersen Analysis System

Study Planning and Adaptation of Sample Size

Spatio-Temporal Modeling of Large Data Using a Spectral SPDE Approach

Spatial Entropy Measures

Score Test and Meta-Analysis Based on Saddlepoint Approximation

Functional Geostatistics: Univariate and Multivariate Functional Spatial Prediction

Bayesian Modeling of Spatial Count Data

Geometric Spatial Point Analysis

Graph Edge Computations for Spatial Point Patterns

Spatial Grid Generation from Longitude and Latitude List

Evolutionary Analysis

Shortest Paths Between Points in Grids

Functions for Kriging and Point Pattern Analysis

Spatial Accessibility Measures

Blind Source Separation for Multivariate Spatial Data

Computation of Spatial Covariance Matrices for Data on Rectangles

Deconvolution of Spatial Transcriptomics Data Based on Neural Networks

Spatial Analysis and Modelling Utilities

Methods and Data for Spatial Epidemiology

Modelling Spatial Extremes

Spatial Functional Data Analysis

Fit Spatial Generalized Extreme Value Models

The SpatialGraph Class and Utilities

Ising Model for Spatial Data

Kernel Density Estimation for Spatial Data

Spatial KWD for Large Spatial Maps

Spatial Machine Learning

Multivariate Nonparametric Methods Based on Spatial Signs and Ranks

Tools for Assessment the Association Between Two Spatial Processes

Generation of Spatial Data with Spatially Varying Model Parameter

Spatial Position Models

Spatial Probit Models

Conduct Multiple Types of Geographic Regression Discontinuity Designs

Spatial Regression Analysis

Spatial Constrained Clusterwise Regression

Easy Spatial Modeling with Random Forest

Calculating Spatial Risk

Robust Maximum Likelihood Estimation for Spatial Error Model

Spatial Resampling Infrastructure

Spatial Analysis of Vectra Immunoflourescent Data

Tools for Spatial Data Analysis

Spatial Variable Selection

Spatial Forecast Verification

Spatial Early Warning Signals of Ecosystem Degradation

Formats Spatial Data for Use in Htmlwidgets

Regularized Spatial Maximum Covariance Analysis

Topic Inference to Identify Tissue Architecture in Multiplexed Images

Regularized Principal Component Analysis for Spatial Data

Inference for Spatiotemporal Partially Observed Markov Processes

Spatial Analysis of Field Trials with Splines

Group Animal Relocation Data by Spatial and Temporal Relationship