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"description": "Fitting and testing of generalized logistic distributions"
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"name": "R-glpkAPI",
"description": "R interface to C API of GLPK"
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"name": "R-glue",
"description": "Glue strings to data in R. Small, fast, dependency free interpreted string literals."
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"name": "R-gmailr",
"description": "Access the Gmail RESTful API"
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"name": "R-GMCM",
"description": "Fast estimation of Gaussian mixture copula models"
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"name": "R-Gmedian",
"description": "Geometric median, k-medians clustering and robust median PCA"
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{
"name": "R-gmeta",
"description": "Meta-analysis via a unified framework of confidence distribution"
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{
"name": "R-Gmisc",
"description": "Descriptive statistics, transition plots and more"
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"name": "R-gmm",
"description": "Generalized Method of Moments and Generalized Empirical Likelihood"
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"description": "Multinomial logit models with random parameters"
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"name": "R-gmo",
"description": "Gradient-based Marginal Optimization"
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"name": "R-gmodels",
"description": "Various R programming tools for model fitting"
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"description": "Multiple precision arithmetic"
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"description": "Estimate Gaussian and Student t mixture vector autoregressive models"
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"name": "R-gMWT",
"description": "Generalized Mann–Whitney Type Tests"
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"name": "R-GNAR",
"description": "Methods for fitting network time series models"
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"name": "R-GNE",
"description": "Computation of Generalized Nash Equilibria"
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"description": "Goodness-of-Fit test for continuous distribution functions"
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"name": "R-gnlm",
"description": "Generalized non-linear regression models"
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"name": "R-gnm",
"description": "Generalized non-linear models in R"
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"name": "R-gnrprod",
"description": "Estimate gross output functions"
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"name": "R-gofar",
"description": "Generalized co-sparse factor regression"
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"description": "Goodness-of-fit tests for copulæ"
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"description": "Goodness-of-Fit tests based on Empirical Distribution Functions"
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"description": "Tests of goodness-of-fit based on a kernel smoothing of the data"
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"name": "R-GofKmt",
"description": "Khmaladze martingale transformation goodness-of-fit test"
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"name": "R-goftest",
"description": "Classical goodness-of-fit tests for univariate distributions"
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{
"name": "R-gogarch",
"description": "Generalized orthogonal GARCH (GO-GARCH) models"
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{
"name": "R-golem",
"description": "Framework for robust Shiny applications"
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{
"name": "R-golubEsets",
"description": "exprSets for golub leukemia data"
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{
"name": "R-googleAnalyticsR",
"description": "Google Analytics API"
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{
"name": "R-googleAuthR",
"description": "Authenticate and create Google APIs"
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{
"name": "R-googleCloudStorageR",
"description": "Interface with Google Cloud Storage API"
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{
"name": "R-googleComputeEngineR",
"description": "R interface for Google Compute Engine"
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{
"name": "R-googledrive",
"description": "Interface to Google Drive"
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{
"name": "R-googlesheets4",
"description": "Access Google Sheets using the Sheets API V4"
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{
"name": "R-gorica",
"description": "Evaluation of inequality-constrained hypotheses using GORICA"
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{
"name": "R-gower",
"description": "Gower distance"
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{
"name": "R-gp",
"description": "Maximum likelihood estimation of the generalized Poisson distribution"
},
{
"name": "R-GPareto",
"description": "Gaussian processes for Pareto front estimation and optimization"
},
{
"name": "R-GPArotation",
"description": "Gradient Projection Algorithm Rotation for factor analysis"
},
{
"name": "R-gpboost",
"description": "Combining tree-boosting with Gaussian process and mixed effects models"
},
{
"name": "R-GPFDA",
"description": "Gaussian Process for Functional Data Analysis"
},
{
"name": "R-GPfit",
"description": "Gaussian Processes modeling"
},
{
"name": "R-gpg",
"description": "GNU Privacy Guard for R"
},
{
"name": "R-GpGp",
"description": "Fast Gaussian process computation using Vecchiaʼs approximation"
},
{
"name": "R-gpindex",
"description": "Generalized price and quantity indices"
}
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