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{
"name": "R-ismev",
"description": "An Introduction to Statistical Modeling of Extreme Values"
},
{
"name": "R-isni",
"description": "Index of local sensitivity to non-ignorability"
},
{
"name": "R-Iso",
"description": "Functions to perform isotonic regression"
},
{
"name": "R-isoband",
"description": "Generate isolines and isobands from regularly spaced elevation grids."
},
{
"name": "R-ISOcodes",
"description": "Select ISO Codes"
},
{
"name": "R-isotone",
"description": "Active set and generalized PAVA for isotone optimization"
},
{
"name": "R-isotonic.pen",
"description": "Penalized isotonic regression in one and two dimensions"
},
{
"name": "R-isotree",
"description": "Isolation-based outlier detection"
},
{
"name": "R-ISOweek",
"description": "Week of the year and weekday according to ISO 8601"
},
{
"name": "R-isqg",
"description": "In Silico Quantitative Genetics"
},
{
"name": "R-ISwR",
"description": "Introductory Statistics with R (2nd ed.)"
},
{
"name": "R-itdr",
"description": "Integral transformation methods for SDR in regression"
},
{
"name": "R-iterators",
"description": "Provides iterator construct"
},
{
"name": "R-iterLap",
"description": "Approximate probability densities via iterated Laplace approximations"
},
{
"name": "R-iterors",
"description": "Fast, compact iterators and tools"
},
{
"name": "R-iterpc",
"description": "Efficient iterator for permutations and combinations"
},
{
"name": "R-itertools",
"description": "Iterator tools"
},
{
"name": "R-ivDiag",
"description": "Estimation and diagnostic tools for instrumental variables designs"
},
{
"name": "R-ivmodel",
"description": "Statistical inference and sensitivity analysis for instrumental variables model"
},
{
"name": "R-ivprobit",
"description": "Instrumental variables probit model"
},
{
"name": "R-ivreg",
"description": "2SLS Regression with Diagnostics in R"
},
{
"name": "R-ivs",
"description": "Interval Vectors"
},
{
"name": "R-ivx",
"description": "Robust econometric inference for predictive regressions"
},
{
"name": "R-iZID",
"description": "Identify Zero-Inflated Distributions"
},
{
"name": "R-jaccard",
"description": "Test similarity between binary data using Jaccard–Tanimoto coefficients"
},
{
"name": "R-jack",
"description": "Jack, zonal and Schur polynomials"
},
{
"name": "R-jacobi",
"description": "Jacobi Theta and related functions"
},
{
"name": "R-JacobiEigen",
"description": "Classical Jacobi eigenvalue algorithm"
},
{
"name": "R-JADE",
"description": "Blind source separation methods based on joint diagonalization and some BSS performance criteria"
},
{
"name": "R-jaggR",
"description": "Supporting files and functions for the Bayesian Modelling with JAGS"
},
{
"name": "R-jagshelper",
"description": "Extracting and visualizing output from R-jagsUI"
},
{
"name": "R-jagstargets",
"description": "Reproducible Bayesian data analysis pipelines with R-targets and JAGS"
},
{
"name": "R-jagsUI",
"description": "Wrapper around R-rjags to streamline JAGS analyses"
},
{
"name": "R-janeaustenr",
"description": "Jane Austen’s Complete Novels"
},
{
"name": "R-janitor",
"description": "Simple tools for examining and cleaning dirty data"
},
{
"name": "R-Jaya",
"description": "Maximization/minimization of a fitness function using the Jaya Algorithm (JA)"
},
{
"name": "R-jeek",
"description": "Fast and scalable joint estimator for integrating additional knowledge in learning multiple related sparse gaussian graphical models"
},
{
"name": "R-jenga",
"description": "Fast extrapolation of time features using k-nearest neighbors"
},
{
"name": "R-jetpack",
"description": "Friendly package manager"
},
{
"name": "R-jfa",
"description": "Statistical methods for auditing"
},
{
"name": "R-jiebaR",
"description": "Chinese text segmentation, keyword extraction and speech tagging"
},
{
"name": "R-jiebaRD",
"description": "Chinese text segmentation data for R-jiebaR package"
},
{
"name": "R-jinjar",
"description": "Template engine inspired by Jinja"
},
{
"name": "R-jipApprox",
"description": "Approximate inclusion probabilities for survey sampling"
},
{
"name": "R-jmatrix",
"description": "Read from/write to disk matrices with any data type in a binary format"
},
{
"name": "R-JMbayes",
"description": "Joint modelling of longitudinal and time-to-event data under a Bayesian approach"
},
{
"name": "R-JMbayes2",
"description": "Network meta-analysis using Bayesian methods"
},
{
"name": "R-JMdesign",
"description": "Power calculations for joint modelling of longitudinal and survival data"
},
{
"name": "R-jmv",
"description": "The Jamovi analyses"
},
{
"name": "R-jmvconnect",
"description": "Connect to the Jamovi statistical spreadsheet"
}
]
}