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        {
            "name": "R-ICS",
            "description": "Tools for exploring multivariate data via ICS/ICA"
        },
        {
            "name": "R-ICSClust",
            "description": "Tandem clustering with invariant coordinate selection"
        },
        {
            "name": "R-ICSNP",
            "description": "Tools for multivariate nonparametrics"
        },
        {
            "name": "R-ICSOutlier",
            "description": "Outlier detection using Invariant Coordinate Selection"
        },
        {
            "name": "R-ICSShiny",
            "description": "ICS via a Shiny application"
        },
        {
            "name": "R-ICsurv",
            "description": "Semi-parametric regression analysis of interval-censored data"
        },
        {
            "name": "R-ICtest",
            "description": "Estimating and testing the number of interesting components in linear dimension reduction"
        },
        {
            "name": "R-idefix",
            "description": "Efficient designs for discrete choice experiments"
        },
        {
            "name": "R-IDF",
            "description": "Estimation and plotting of IDF curves"
        },
        {
            "name": "R-IDPmisc",
            "description": "Different high-level graphics functions"
        },
        {
            "name": "R-idr",
            "description": "Irreproducible Discovery Rate"
        },
        {
            "name": "R-ids",
            "description": "Simple random identifiers"
        },
        {
            "name": "R-idx2r",
            "description": "Convert files to/from IDX to vectors, matrices and arrays"
        },
        {
            "name": "R-ieeeround",
            "description": "Functions to set and get the IEEE rounding mode"
        },
        {
            "name": "R-ifaTools",
            "description": "Toolkit for Item Factor Analysis with OpenMx"
        },
        {
            "name": "R-igcop",
            "description": "Computational tools for the IG and IGL copula families"
        },
        {
            "name": "R-igraph",
            "description": "Network Analysis and Visualization"
        },
        {
            "name": "R-igraphdata",
            "description": "Collection of network data sets for the igraph package"
        },
        {
            "name": "R-iGraphMatch",
            "description": "Tools for Graph Matching"
        },
        {
            "name": "R-iIneq",
            "description": "Computing individual components of the Gini and the Theil indices"
        },
        {
            "name": "R-ijtiff",
            "description": "Comprehensive TIFF I/O with full support for ImageJ TIFF files"
        },
        {
            "name": "R-imager",
            "description": "Image processing library based on CImg"
        },
        {
            "name": "R-imbalance",
            "description": "Preprocessing algorithms for imbalanced datasets"
        },
        {
            "name": "R-iml",
            "description": "Interpretable Machine Learning"
        },
        {
            "name": "R-implied",
            "description": "Convert between bookmaker odds and probabilities"
        },
        {
            "name": "R-import",
            "description": "Import mechanism for R"
        },
        {
            "name": "R-ImpShrinkage",
            "description": "Improved shrinkage estimations for multiple linear regression"
        },
        {
            "name": "R-imptree",
            "description": "Classification trees with imprecise probabilities"
        },
        {
            "name": "R-impute",
            "description": "Imputation for microarray data"
        },
        {
            "name": "R-imputeMissings",
            "description": "Impute missing values in a predictive context"
        },
        {
            "name": "R-imputeTS",
            "description": "Time series missing value imputation"
        },
        {
            "name": "R-inctools",
            "description": "Incidence estimation tools"
        },
        {
            "name": "R-indelmiss",
            "description": "Insertion–deletion analysis while accounting for possible missing data"
        },
        {
            "name": "R-IndexNumR",
            "description": "Compute bilateral and multilateral index numbers"
        },
        {
            "name": "R-IndGenErrors",
            "description": "Tests of independence between innovations of generalized error models"
        },
        {
            "name": "R-ineq",
            "description": "Measuring inequality, concentration and poverty"
        },
        {
            "name": "R-infer",
            "description": "Tidy statistical inference"
        },
        {
            "name": "R-inferr",
            "description": "Inferential statistics"
        },
        {
            "name": "R-influenceR",
            "description": "Software tools to quantify structural importance of nodes in a network"
        },
        {
            "name": "R-influential",
            "description": "Identification and classification of the most influential nodes"
        },
        {
            "name": "R-infotheo",
            "description": "Information-theoretic measures"
        },
        {
            "name": "R-ingredients",
            "description": "Effects and importances of model ingredients"
        },
        {
            "name": "R-ini",
            "description": "Read and write .ini riles"
        },
        {
            "name": "R-inline",
            "description": "Functions to inline C, C++, Fortran function calls"
        },
        {
            "name": "R-ino",
            "description": "Initialization of Numerical Optimization"
        },
        {
            "name": "R-inops",
            "description": "Infix operators for detection, subsetting and replacement"
        },
        {
            "name": "R-InPosition",
            "description": "Inference tests for R-ExPosition"
        },
        {
            "name": "R-insight",
            "description": "Easy access to model information for various model objects"
        },
        {
            "name": "R-InspectChangepoint",
            "description": "High-dimensional changepoint estimation via sparse projection"
        },
        {
            "name": "R-instantiate",
            "description": "Pre-compiled CmdStan models in R packages"
        }
    ]
}