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"name": "R-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"
},
{
"name": "R-spatialCovariance",
"description": "Computation of spatial covariance matrices for data on rectangles"
},
{
"name": "R-SpatialGraph",
"description": "SpatialGraph class"
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{
"name": "R-SpatialNP",
"description": "Multivariate non-parametric methods based on spatial signs and ranks"
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{
"name": "R-spatialprobit",
"description": "Bayesian estimation of spatial Probit and Tobit models"
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{
"name": "R-spatialreg",
"description": "Spatial regression analysis"
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{
"name": "R-spatstat",
"description": "Spatial point pattern analysis, model fitting, simulation, tests"
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{
"name": "R-spatstat.data",
"description": "Data-sets for R-spatstat family"
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{
"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"
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{
"name": "R-spatstat.linnet",
"description": "Linear networks functionality"
},
{
"name": "R-spatstat.local",
"description": "Extension for R-spatstat for local composite likelihood"
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{
"name": "R-spatstat.model",
"description": "Parametric statistical modelling and inference"
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{
"name": "R-spatstat.random",
"description": "Random generation functionality"
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{
"name": "R-spatstat.sparse",
"description": "Sparse three-dimensional arrays and linear algebra utilities"
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{
"name": "R-spatstat.univar",
"description": "One-dimensional probability distribution support"
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{
"name": "R-spatstat.utils",
"description": "Utility functions for R-spatstat"
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{
"name": "R-spBayes",
"description": "Univariate and multivariate spatial-temporal modelling"
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{
"name": "R-spBFA",
"description": "Spatial Bayesian Factor Analysis"
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{
"name": "R-spd",
"description": "Semi-Parametric Distribution"
},
{
"name": "R-spData",
"description": "Datasets for spatial analysis"
},
{
"name": "R-spDataLarge",
"description": "Large datasets for spatial analysis"
},
{
"name": "R-spdep",
"description": "Spatial Dependence: weighting schemes, statistics"
},
{
"name": "R-spdesign",
"description": "Design stated preference experiments"
},
{
"name": "R-spdl",
"description": "Wrapper for RcppSpdlog functions"
},
{
"name": "R-speedglm",
"description": "Fitting linear models and generalized linear models to large data sets by updating algorithms"
},
{
"name": "R-SPEI",
"description": "Calculation of the standardized precipitation-evapotranspiration index"
},
{
"name": "R-spelling",
"description": "Tools for spell-checking in R"
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{
"name": "R-spfa",
"description": "Semi-Parametric Factor Analysis"
},
{
"name": "R-sphereplot",
"description": "Functions for creating spherical coordinate system plots via extensions to rgl"
},
{
"name": "R-SphericalCubature",
"description": "Numerical integration over spheres and balls in n-dimensions, multivariate polar coordinates"
},
{
"name": "R-sphet",
"description": "Estimation of spatial autoregressive models with and without heteroskedastic innovations"
},
{
"name": "R-sphunif",
"description": "Uniformity tests on the circle, sphere and hypersphere"
},
{
"name": "R-SPIA",
"description": "Signaling Pathway Impact Analysis (SPIA) using combined evidence of pathway over-representation and unusual signalling perturbations"
},
{
"name": "R-spikeSlabGAM",
"description": "Bayesian variable selection and model choice for generalized additive mixed models"
},
{
"name": "R-SPINA",
"description": "Structure Parameter Inference Approach"
},
{
"name": "R-splancs",
"description": "Spatial and space-time point pattern analysis"
},
{
"name": "R-splines2",
"description": "Regression spline functions and classes"
},
{
"name": "R-splitfngr",
"description": "Combined evaluation and split access of functions"
},
{
"name": "R-splitTools",
"description": "Tools for data splitting"
},
{
"name": "R-splm",
"description": "Econometric models for spatial panel data"
},
{
"name": "R-spls",
"description": "Sparse partial least squares (SPLS) regression and classification"
}
]
}