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            "name": "R-TAM",
            "description": "Test Analysis Modules"
        },
        {
            "name": "R-tapkee",
            "description": "Wrapper for tapkee dimension reduction library"
        },
        {
            "name": "R-tarchetypes",
            "description": "Archetypes for R-targets"
        },
        {
            "name": "R-targeted",
            "description": "Various methods for targeted and semi-parametric inference"
        },
        {
            "name": "R-targets",
            "description": "Dynamic function-oriented make-like declarative workflows"
        },
        {
            "name": "R-tatoo",
            "description": "Combine and export data frames"
        },
        {
            "name": "R-tau",
            "description": "Text Analysis Utilities"
        },
        {
            "name": "R-tauProcess",
            "description": "Tau measure with right-censored data"
        },
        {
            "name": "R-TaylorRussell",
            "description": "Taylor–Russell function for multiple predictors"
        },
        {
            "name": "R-tbm",
            "description": "Transformation Boosting Machines"
        },
        {
            "name": "R-tcltk2",
            "description": "A series of additional Tcl commands and Tk widgets with style and various functions to supplement the tcltk package"
        },
        {
            "name": "R-tclust",
            "description": "Robust Trimmed Clustering"
        },
        {
            "name": "R-td",
            "description": "Access to the Twelvedata financial data API"
        },
        {
            "name": "R-TDAkit",
            "description": "Toolkit for topological data analysis"
        },
        {
            "name": "R-TDAstats",
            "description": "Pipeline for topological data analysis"
        },
        {
            "name": "R-tdata",
            "description": "Set of tools for managing time-series data"
        },
        {
            "name": "R-tdaunif",
            "description": "Uniform manifold samplers for topological data analysis"
        },
        {
            "name": "R-TDboost",
            "description": "Boosted tweedie compound Poisson model"
        },
        {
            "name": "R-tdcmStan",
            "description": "Automating the creation of Stan code for TDCMs"
        },
        {
            "name": "R-tdigest",
            "description": "Fast, accurate quantiles using t-digests"
        },
        {
            "name": "R-tdsa",
            "description": "Time-Dependent Sensitivity Analysis"
        },
        {
            "name": "R-TeachingDemos",
            "description": "Demonstrations for teaching and learning"
        },
        {
            "name": "R-teigen",
            "description": "Model-based clustering and classification with the multivariate t distribution"
        },
        {
            "name": "R-Tejapi",
            "description": "API wrapper for Taiwan Economic Journal data service"
        },
        {
            "name": "R-telefit",
            "description": "Estimation and prediction for remote effects spatial process models"
        },
        {
            "name": "R-telescope",
            "description": "Bayesian mixtures with an unknown number of components"
        },
        {
            "name": "R-tempdisagg",
            "description": "Methods for temporal disaggregation and interpolation of time series"
        },
        {
            "name": "R-templates",
            "description": "System for working with templates"
        },
        {
            "name": "R-TempStable",
            "description": "Collection of methods to estimate parameters of different tempered stable distributions"
        },
        {
            "name": "R-tensor",
            "description": "Tensor product of arrays"
        },
        {
            "name": "R-tensorA",
            "description": "Advanced tensor arithmetic with named indices"
        },
        {
            "name": "R-tensorBSS",
            "description": "Blind source separation methods for tensor-valued observations"
        },
        {
            "name": "R-tensorMiss",
            "description": "Handle missing tensor data with C++ integration"
        },
        {
            "name": "R-tergm",
            "description": "Fit, simulate and diagnose models for network evolution based on exponential-family random graph models"
        },
        {
            "name": "R-term",
            "description": "Create, manipulate and query parameter terms"
        },
        {
            "name": "R-Ternary",
            "description": "Create Ternary and Holdridge plots"
        },
        {
            "name": "R-terra",
            "description": "Spatial data analysis"
        },
        {
            "name": "R-tessellation",
            "description": "Delaunay and Voronoï tessellations"
        },
        {
            "name": "R-tesseract",
            "description": "Open Source OCR Engine"
        },
        {
            "name": "R-tester",
            "description": "Tests and checks characteristics of R objects"
        },
        {
            "name": "R-TestFunctions",
            "description": "Test functions for simulation experiments and evaluating optimization and emulation algorithms"
        },
        {
            "name": "R-testit",
            "description": "Simple package for testing R packages"
        },
        {
            "name": "R-testthat",
            "description": "Unit Testing for R"
        },
        {
            "name": "R-TeXCheckR",
            "description": "Parse LaTeX documents for errors"
        },
        {
            "name": "R-texreg",
            "description": "Conversion of R regression output to LaTeX or HTML tables"
        },
        {
            "name": "R-text2map",
            "description": "R tools for text matrices, embeddings and networks"
        },
        {
            "name": "R-text2vec",
            "description": "Modern text mining framework for R"
        },
        {
            "name": "R-textcat",
            "description": "N-gram-based text categorization"
        },
        {
            "name": "R-textir",
            "description": "Inverse regression for text analysis"
        },
        {
            "name": "R-textmineR",
            "description": "Functions for text mining and topic modelling"
        }
    ]
}