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{
"name": "R-netseg",
"description": "Measures of network segregation and homophily"
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{
"name": "R-NetSwan",
"description": "Network Strengths and Weaknesses Analysis"
},
{
"name": "R-netUtils",
"description": "Miscellaneous functions for network analysis"
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{
"name": "R-network",
"description": "Classes for relational data"
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{
"name": "R-networkD3",
"description": "D3 JavaScript network graphs from R"
},
{
"name": "R-networkDynamic",
"description": "Dynamic extensions for network objects"
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{
"name": "R-networkLite",
"description": "Simplified implementation of the Network package functionality"
},
{
"name": "R-networktools",
"description": "Tools for identifying important nodes in networks"
},
{
"name": "R-neuralnet",
"description": "Training of neural networks"
},
{
"name": "R-NeuralNetTools",
"description": "Visualization and analysis tools for neural networks"
},
{
"name": "R-neverhpfilter",
"description": "Alternative to the Hodrick–Prescott filter"
},
{
"name": "R-new.dist",
"description": "Alternative continuous and discrete distributions"
},
{
"name": "R-Newdistns",
"description": "Computes PDF, CDF, quantile, random numbers and measures of inference for 19 general families of distributions."
},
{
"name": "R-nFactors",
"description": "Parallel analysis and other non-graphical solutions to the Cattell scree test"
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{
"name": "R-nfer",
"description": "Event stream abstraction using interval logic"
},
{
"name": "R-nftbart",
"description": "Non-parametric failure time Bayesian additive regression trees"
},
{
"name": "R-ngram",
"description": "Fast n-Gram tokenization"
},
{
"name": "R-NHANES",
"description": "Data from the US National Health and Nutrition Examination study"
},
{
"name": "R-nhm",
"description": "Non-Homogeneous Markov and Hidden Markov Multistate Models"
},
{
"name": "R-NHMSAR",
"description": "Non-homogeneous Markov switching autoregressive models"
},
{
"name": "R-nimble",
"description": "The base NIMBLE package for R"
},
{
"name": "R-nimbleAPT",
"description": "Adaptive parallel tempering for R-nimble"
},
{
"name": "R-nimbleHMC",
"description": "Hamiltonian Monte Carlo and other gradient-based MCMC sampling algorithms for R-nimble"
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{
"name": "R-nimbleNoBounds",
"description": "Transformed distributions for improved MCMC efficiency"
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{
"name": "R-nimbleSCR",
"description": "Spatial Capture-Recapture (SCR) methods"
},
{
"name": "R-nimbleSMC",
"description": "Sequential Monte Carlo Methods for R-nimble"
},
{
"name": "R-NISTnls",
"description": "Non-linear least squares examples from NIST"
},
{
"name": "R-NISTunits",
"description": "Fundamental physical constants and unit conversions from NIST"
},
{
"name": "R-NlcOptim",
"description": "Solve non-linear optimization with non-linear constraints"
},
{
"name": "R-nleqslv",
"description": "Solve systems of nonlinear equations"
},
{
"name": "R-nlist",
"description": "Lists of numeric atomic objects"
},
{
"name": "R-nlive",
"description": "Automated estimation of sigmoidal and piece-wise linear mixed models"
},
{
"name": "R-nlme",
"description": "Fit and compare Gaussian linear and nonlinear mixed-effects models"
},
{
"name": "R-nlmeU",
"description": "Datasets and utility functions enhancing functionality of R-nlme package"
},
{
"name": "R-nlmm",
"description": "Generalized Laplace Mixed-Effects Models"
},
{
"name": "R-nlmrt",
"description": "Functions for non-linear least squares solutions"
},
{
"name": "R-nlopt",
"description": "Call optimization solvers with .nl files"
},
{
"name": "R-nloptr",
"description": "R Interface to NLopt"
},
{
"name": "R-NLP",
"description": "Natural Language Processing infrastructure"
},
{
"name": "R-nlpred",
"description": "Estimators of non-linear cross-validated risks optimized for small samples"
},
{
"name": "R-nlpsem",
"description": "Linear and non-linear longitudinal process in structural equation modelling framework"
},
{
"name": "R-nlraa",
"description": "Non-linear Regression for Agricultural Applications"
},
{
"name": "R-nlreg",
"description": "Higher-order inference for non-linear heteroscedastic models"
},
{
"name": "R-NLRoot",
"description": "Search for the root of an equation"
},
{
"name": "R-nls2",
"description": "Non-linear regression with brute force"
},
{
"name": "R-nlsem",
"description": "Fitting structural equation mixture models"
},
{
"name": "R-nlshrink",
"description": "Non-linear shrinkage estimation of population eigenvalues and covariance matrices"
},
{
"name": "R-nlsic",
"description": "Non-linear least squares with inequality constraints"
},
{
"name": "R-nlsr",
"description": "Functions for non-linear least squares solutions"
},
{
"name": "R-nlstac",
"description": "Fit separable non-linear models"
}
]
}