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"name": "R-IASD",
"description": "Model selection for index of asymmetry distribution"
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{
"name": "R-ibdreg",
"description": "Regression methods for IBD linkage with covariates"
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{
"name": "R-ibelief",
"description": "Belief function implementation"
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"name": "R-ibr",
"description": "Iterative Bias Reduction"
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{
"name": "R-iBreakDown",
"description": "Model-agnostic instance level variable attributions"
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"name": "R-ibs",
"description": "Integral of b-spline functions"
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{
"name": "R-ic.infer",
"description": "Inequality-constrained inference in linear normal situations"
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{
"name": "R-iCARH",
"description": "Integrative conditional autoregressive horseshoe model"
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"name": "R-ICcalib",
"description": "Cox model with interval-censored starting time of a covariate"
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"name": "R-icenReg",
"description": "Regression models for interval-censored data"
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{
"name": "R-Icens",
"description": "NPMLE for censored and truncated data"
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{
"name": "R-ichimoku",
"description": "Visualization and tools for Ichimoku Kinko Hyo strategies"
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{
"name": "R-icr",
"description": "Compute Krippendorff’s α"
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"name": "R-ICS",
"description": "Tools for exploring multivariate data via ICS/ICA"
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{
"name": "R-ICSClust",
"description": "Tandem clustering with invariant coordinate selection"
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"name": "R-ICSNP",
"description": "Tools for multivariate nonparametrics"
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"name": "R-ICSOutlier",
"description": "Outlier detection using Invariant Coordinate Selection"
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{
"name": "R-ICSShiny",
"description": "ICS via a Shiny application"
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"name": "R-ICsurv",
"description": "Semi-parametric regression analysis of interval-censored data"
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{
"name": "R-ICtest",
"description": "Estimating and testing the number of interesting components in linear dimension reduction"
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"name": "R-idefix",
"description": "Efficient designs for discrete choice experiments"
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{
"name": "R-IDF",
"description": "Estimation and plotting of IDF curves"
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"name": "R-IDPmisc",
"description": "Different high-level graphics functions"
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"name": "R-idr",
"description": "Irreproducible Discovery Rate"
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{
"name": "R-ids",
"description": "Simple random identifiers"
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{
"name": "R-ieeeround",
"description": "Functions to set and get the IEEE rounding mode"
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{
"name": "R-ifaTools",
"description": "Toolkit for Item Factor Analysis with OpenMx"
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{
"name": "R-igcop",
"description": "Computational tools for the IG and IGL copula families"
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{
"name": "R-igraph",
"description": "Network Analysis and Visualization"
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{
"name": "R-igraphdata",
"description": "Collection of network data sets for the igraph package"
},
{
"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"
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{
"name": "R-imbalance",
"description": "Preprocessing algorithms for imbalanced datasets"
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{
"name": "R-implied",
"description": "Convert between bookmaker odds and probabilities"
},
{
"name": "R-import",
"description": "Import mechanism for R"
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{
"name": "R-ImpShrinkage",
"description": "Improved shrinkage estimations for multiple linear regression"
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{
"name": "R-imptree",
"description": "Classification trees with imprecise probabilities"
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{
"name": "R-impute",
"description": "Imputation for microarray data"
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{
"name": "R-imputeMissings",
"description": "Impute missing values in a predictive context"
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{
"name": "R-imputeTS",
"description": "Time series missing value imputation"
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{
"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"
}
]
}