All packages

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sparseHessianFD — 0.3.3.7

Numerical Estimation of Sparse Hessians

sparseIndexTracking — 0.1.1

Design of Portfolio of Stocks to Track an Index

sparseinv — 0.1.3

Computation of the Sparse Inverse Subset

sparseLDA — 0.1-9

Sparse Discriminant Analysis

SparseLPM — 1.0

The Sparse Latent Position Model for Nonnegative Interaction Data

sparseLRMatrix — 0.1.0

Represent and Use Sparse + Low Rank Matrices

sparseLTSEigen — 0.2.0.1

RcppEigen back end for sparse least trimmed squares regression

SparseM — 1.84-2

Sparse Linear Algebra

sparseMatEst — 1.0.0

Sparse Matrix Estimation and Inference

SparseMDC — 0.99.5

Implementation of SparseMDC Algorithm

SPARSEMODr — 1.2.0

SPAtial Resolution-SEnsitive Models of Outbreak Dynamics

SparseMSE — 2.0.1

'Multiple Systems Estimation for Sparse Capture Data'

sparseMVN — 0.2.2

Multivariate Normal Functions for Sparse Covariance and Precision Matrices

sparsenet — 1.7

Fit Sparse Linear Regression Models via Nonconvex Optimization

sparsepca — 0.1.2

Sparse Principal Component Analysis (SPCA)

sparsepp — 1.22

'Rcpp' Interface to 'sparsepp'

sparseR — 0.3.1

Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials

sparsereg — 1.2

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

sparseSEM — 4.1

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

sparsestep — 1.0.1

SparseStep Regression

sparsesvd — 0.2-2

Sparse Truncated Singular Value Decomposition (from 'SVDLIBC')

sparseSVM — 1.1-7

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

SparseTSCGM — 4.0

Sparse Time Series Chain Graphical Models

sparsevar — 0.1.0

Sparse VAR/VECM Models Estimation

sparsevb — 0.1.0

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

sparsevctrs — 0.1.0

Sparse Vectors for Use in Data Frames

SparseVFC — 0.1.2

Sparse Vector Field Consensus for Vector Field Learning

sparsio — 1.0.1

I/O Operations with Sparse Matrices

sparta — 0.8.4

Sparse Tables

SPARTAAS — 1.2.4

Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS

sparvaride — 0.1.0

Variance Identification in Sparse Factor Analysis

SPAS — 2024.1.31

Stratified-Petersen Analysis System

spass — 1.3

Study Planning and Adaptation of Sample Size

spate — 1.7.5

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

SpatEntropy — 2.2-4

Spatial Entropy Measures

SPAtest — 3.1.2

Score Test and Meta-Analysis Based on Saddlepoint Approximation

SpatFD — 0.0.1

Functional Geostatistics: Univariate and Multivariate Functional Spatial Prediction

SpatGC — 0.1.0

Bayesian Modeling of Spatial Count Data

spatgeom — 0.3.0

Geometric Spatial Point Analysis

spatgraphs — 3.4

Graph Edge Computations for Spatial Point Patterns

SpatGRID — 0.1.0

Spatial Grid Generation from Longitude and Latitude List

spaths — 1.1.3

Shortest Paths Between Points in Grids

spatial — 7.3-17

Functions for Kriging and Point Pattern Analysis

SpatialAcc — 0.1-5

Spatial Accessibility Measures

SpatialBSS — 0.14-0

Blind Source Separation for Multivariate Spatial Data

spatialCovariance — 0.6-9

Computation of Spatial Covariance Matrices for Data on Rectangles

SpatialDDLS — 1.0.3

Deconvolution of Spatial Transcriptomics Data Based on Neural Networks

spatialEco — 2.0-2

Spatial Analysis and Modelling Utilities

SpatialEpi — 1.2.8

Methods and Data for Spatial Epidemiology

SpatialExtremes — 2.1-0

Modelling Spatial Extremes

SpatialfdaR — 1.0.0

Spatial Functional Data Analysis

SpatialGEV — 1.0.1

Fit Spatial Generalized Extreme Value Models

SpatialGraph — 1.0-4

The SpatialGraph Class and Utilities

spatialising — 0.6.0

Ising Model for Spatial Data

SpatialKDE — 0.8.2

Kernel Density Estimation for Spatial Data

SpatialKWD — 0.4.1

Spatial KWD for Large Spatial Maps

SpatialML — 0.1.7

Spatial Machine Learning

SpatialNP — 1.1-5

Multivariate Nonparametric Methods Based on Spatial Signs and Ranks

SpatialPack — 0.4-1

Tools for Assessment the Association Between Two Spatial Processes

SpatialPOP — 0.1.0

Generation of Spatial Data with Spatially Varying Model Parameter

SpatialPosition — 2.1.2

Spatial Position Models

spatialprobit — 1.0.4

Spatial Probit Models

SpatialRDD — 0.1.0

Conduct Multiple Types of Geographic Regression Discontinuity Designs

spatialreg — 1.3-5

Spatial Regression Analysis

SpatialRegimes — 1.1

Spatial Constrained Clusterwise Regression

spatialRF — 1.1.4

Easy Spatial Modeling with Random Forest

spatialrisk — 0.7.1

Calculating Spatial Risk

SpatialRoMLE — 0.1.0

Robust Maximum Likelihood Estimation for Spatial Error Model

spatialsample — 0.6.0

Spatial Resampling Infrastructure

spatialTIME — 1.3.4-5

Spatial Analysis of Vectra Immunoflourescent Data

SpatialTools — 1.0.5

Tools for Spatial Data Analysis

SpatialVS — 1.1

Spatial Variable Selection

SpatialVx — 1.0-2

Spatial Forecast Verification

spatialwarnings — 3.1.0

Spatial Early Warning Signals of Ecosystem Degradation

spatialwidget — 0.2.5

Formats Spatial Data for Use in Htmlwidgets

SpatMCA — 1.0.4

Regularized Spatial Maximum Covariance Analysis

SpaTopic — 1.1.0

Topic Inference to Identify Tissue Architecture in Multiplexed Images

SpatPCA — 1.3.5

Regularized Principal Component Analysis for Spatial Data

spatPomp — 1.0.0

Inference for Spatiotemporal Partially Observed Markov Processes

SpATS — 1.0-19

Spatial Analysis of Field Trials with Splines

spatsoc — 0.2.2

Group Animal Relocation Data by Spatial and Temporal Relationship

spatstat — 3.2-1

Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests

spatstat.data — 3.1-4

Datasets for 'spatstat' Family

spatstat.explore — 3.3-3

Exploratory Data Analysis for the 'spatstat' Family

spatstat.geom — 3.3-3

Geometrical Functionality of the 'spatstat' Family

spatstat.gui — 3.1-0

Interactive Graphics Functions for the 'spatstat' Package

spatstat.Knet — 3.1-2

Extension to 'spatstat' for Large Datasets on a Linear Network

spatstat.linnet — 3.2-2

Linear Networks Functionality of the 'spatstat' Family

spatstat.local — 5.1-0

Extension to 'spatstat' for Local Composite Likelihood

spatstat.model — 3.3-2

Parametric Statistical Modelling and Inference for the 'spatstat' Family

spatstat.random — 3.3-2

Random Generation Functionality for the 'spatstat' Family

spatstat.sparse — 3.1-0

Sparse Three-Dimensional Arrays and Linear Algebra Utilities

spatstat.univar — 3.1-1

One-Dimensional Probability Distribution Support for the 'spatstat' Family

spatstat.utils — 3.1-1

Utility Functions for 'spatstat'

spatsurv — 2.0-1

Bayesian Spatial Survival Analysis with Parametric Proportional Hazards Models

SPB — 1.0

Simple Progress Bars for Procedural Coding

spbabel — 0.6.0

Convert Spatial Data Using Tidy Tables

spbal — 1.0.0

Spatially Balanced Sampling Algorithms

spBayes — 0.4-8

Univariate and Multivariate Spatial-Temporal Modeling

spBayesSurv — 1.1.8

Bayesian Modeling and Analysis of Spatially Correlated Survival Data

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