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            "name": "R-textrecipes",
            "description": "Extra recipes for text processing"
        },
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            "name": "R-textshape",
            "description": "Tools for reshaping text"
        },
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            "name": "R-textshaping",
            "description": "Bindings to the HarfBuzz and Fribidi libraries"
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            "name": "R-textutils",
            "description": "Utilities for handling strings and text"
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            "name": "R-tf",
            "description": "S3 classes and methods for tidy functional data"
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            "name": "R-TFisher",
            "description": "Optimal thresholding Fisher’s p-value combination method"
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        {
            "name": "R-tfruns",
            "description": "Training run tools for TensorFlow"
        },
        {
            "name": "R-tglkmeans",
            "description": "Efficient implementation of k-means++ algorithm"
        },
        {
            "name": "R-tgp",
            "description": "Bayesian Treed Gaussian Process models"
        },
        {
            "name": "R-tgstat",
            "description": "Fast and efficient statistical tools from the Tanay lab"
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        {
            "name": "R-TH.data",
            "description": "TH Data Archive"
        },
        {
            "name": "R-thames",
            "description": "Truncated harmonic mean estimator of the marginal likelihood"
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        {
            "name": "R-thematic",
            "description": "Unified and automatic theming of R-ggplot2, R-lattice and base R graphics"
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        {
            "name": "R-themis",
            "description": "Extra recipes steps for dealing with unbalanced data"
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        {
            "name": "R-thief",
            "description": "Temporal HIErarchical Forecasting"
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        {
            "name": "R-this.path",
            "description": "Determine the path of the executing script"
        },
        {
            "name": "R-thor",
            "description": "Interface to LMDB"
        },
        {
            "name": "R-threejs",
            "description": "Interactive 3D scatter plots, networks and globes"
        },
        {
            "name": "R-ThreeWay",
            "description": "Three-way component analysis"
        },
        {
            "name": "R-thrreg",
            "description": "Threshold regression model"
        },
        {
            "name": "R-thurstonianIRT",
            "description": "Thurstonian IRT models"
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        {
            "name": "R-tibble",
            "description": "Modern re-imagining of the data frame"
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        {
            "name": "R-tibbletime",
            "description": "Time-aware tibbles"
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        {
            "name": "R-tictoc",
            "description": "Functions for timing R scripts"
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        {
            "name": "R-tidyAML",
            "description": "Automatic machine learning with tidymodels"
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        {
            "name": "R-tidybayes",
            "description": "Tidy data and Geoms for Bayesian models"
        },
        {
            "name": "R-tidycat",
            "description": "Expand tidy output for categorical parameter estimates"
        },
        {
            "name": "R-tidyclust",
            "description": "Common API to clustering"
        },
        {
            "name": "R-tidycmprsk",
            "description": "Competing risks estimation"
        },
        {
            "name": "R-tidyCpp",
            "description": "Tidy C++ header-only definitions for parts of the C API of R"
        },
        {
            "name": "R-tidydann",
            "description": "Model specifications and tuning parameters for models in R-dann package"
        },
        {
            "name": "R-TidyDensity",
            "description": "Functions for tidy analysis and generation of random data"
        },
        {
            "name": "R-tidyfit",
            "description": "Regularized linear modelling with tidy data"
        },
        {
            "name": "R-tidyformula",
            "description": "Build formulas using tidy selection helpers"
        },
        {
            "name": "R-tidyfst",
            "description": "Toolkit of tidy data manipulation verbs with R-data.table as the backend"
        },
        {
            "name": "R-tidyft",
            "description": "Fast and memory efficient data operations in tidy syntax"
        },
        {
            "name": "R-tidygraph",
            "description": "Tidy API for graph manipulation"
        },
        {
            "name": "R-tidyindex",
            "description": "Tidy data pipeline to construct, compare and analyse indices"
        },
        {
            "name": "R-tidyjson",
            "description": "Tidy complex JSON"
        },
        {
            "name": "R-tidylda",
            "description": "Latent Dirichlet Allocation"
        },
        {
            "name": "R-tidylog",
            "description": "Logging for R-dplyr and R-tidyr functions"
        },
        {
            "name": "R-tidyMC",
            "description": "Monte Carlo simulations made easy and tidy"
        },
        {
            "name": "R-tidymodels",
            "description": "Easily install and load the Tidymodels packages"
        },
        {
            "name": "R-tidyposterior",
            "description": "Bayesian analysis to compare models using resampling statistics"
        },
        {
            "name": "R-tidypredict",
            "description": "Run predictions inside the database"
        },
        {
            "name": "R-tidyquant",
            "description": "Tidy Quantitative financial analysis"
        },
        {
            "name": "R-tidyr",
            "description": "Tidy messy data"
        },
        {
            "name": "R-tidyRSS",
            "description": "Tidy RSS for R"
        },
        {
            "name": "R-tidyrules",
            "description": "Obtain rules from rule based models as tidy dataframe"
        },
        {
            "name": "R-tidyselect",
            "description": "Select from a set of strings"
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}