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"name": "R-spacyr",
"description": "Wrapper to the spaCy NLP library"
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"name": "R-spam",
"description": "SPArse Matrix"
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"name": "R-spaMM",
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"description": "jQuery sparkline htmlwidget"
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"name": "R-sparklyr",
"description": "R Interface to Apache Spark"
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"name": "R-SparseArray",
"description": "Efficient in-memory representation of multi-dimensional sparse arrays"
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{
"name": "R-SparseChol",
"description": "Sparse Cholesky LDL decomposition of symmetric matrices"
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"name": "R-sparseCov",
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"name": "R-sparseDFM",
"description": "Dynamic Factor Models with Sparse loadings"
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"name": "R-sparsediscrim",
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"name": "R-sparseGAM",
"description": "Sparse generalized additive models"
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{
"name": "R-sparsegl",
"description": "Sparse Group Lasso"
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{
"name": "R-SparseGrid",
"description": "Sparse grid integration in R"
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{
"name": "R-sparseHessianFD",
"description": "Numerical estimation of sparse Hessians"
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{
"name": "R-sparseinv",
"description": "Computation of the sparse inverse subset"
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"name": "R-sparseLDA",
"description": "Sparse linear discriminant analysis for Gaussians and mixture of Gaussian models"
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"description": "Represent and use sparse + low rank matrices"
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"name": "R-SparseM",
"description": "Sparse Linear Algebra"
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{
"name": "R-sparseMatrixStats",
"description": "Summary statistics for rows and columns of sparse matrices"
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{
"name": "R-SparseMDC",
"description": "Implementation of SparseMDC algorithm"
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{
"name": "R-SparseMSE",
"description": "Multiple Systems Estimation for Sparse Capture Data"
},
{
"name": "R-sparseMVN",
"description": "Multivariate normal functions for sparse covariance and precision matrices"
},
{
"name": "R-sparsenet",
"description": "Fit sparse linear regression models via non-convex optimization"
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{
"name": "R-sparsepp",
"description": "Rcpp interface to sparsepp"
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{
"name": "R-sparseR",
"description": "Variable selection under ranked sparsity principles for interactions and polynomials"
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{
"name": "R-sparseSEM",
"description": "Sparse-aware maximum likelihood for structural equation models"
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{
"name": "R-sparsevar",
"description": "Sparse VAR/VECM models estimation"
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{
"name": "R-sparsevb",
"description": "Spike-and-slab Variational Bayes for linear and logistic regression"
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{
"name": "R-sparsio",
"description": "I/O operations with sparse matrices"
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{
"name": "R-spatial",
"description": "Functions for Kriging and point pattern analysis"
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{
"name": "R-SpatialBSS",
"description": "Blind source separation for multivariate spatial data"
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{
"name": "R-spatialCovariance",
"description": "Computation of spatial covariance matrices for data on rectangles"
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{
"name": "R-SpatialGraph",
"description": "SpatialGraph class"
},
{
"name": "R-SpatialNP",
"description": "Multivariate non-parametric methods based on spatial signs and ranks"
},
{
"name": "R-spatialprobit",
"description": "Bayesian estimation of spatial Probit and Tobit models"
},
{
"name": "R-spatialreg",
"description": "Spatial regression analysis"
},
{
"name": "R-spatstat",
"description": "Spatial point pattern analysis, model fitting, simulation, tests"
},
{
"name": "R-spatstat.data",
"description": "Data-sets for R-spatstat family"
},
{
"name": "R-spatstat.explore",
"description": "Exploratory data analysis"
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{
"name": "R-spatstat.geom",
"description": "Geometrical functionality of the R-spatstat family"
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{
"name": "R-spatstat.Knet",
"description": "Extension for R-spatstat for large datasets on a linear network"
}
]
}