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"name": "R-keyATM",
"description": "Keyword Assisted Topic Models"
},
{
"name": "R-keyring",
"description": "Access the system credential store from R"
},
{
"name": "R-KFAS",
"description": "Kalman filter and smoother for exponential family state space models"
},
{
"name": "R-kgrams",
"description": "Classical k-gram language models"
},
{
"name": "R-khroma",
"description": "Color schemes for scientific data visualization"
},
{
"name": "R-kimfilter",
"description": "Kim Filter"
},
{
"name": "R-kinship2",
"description": "Pedigree functions"
},
{
"name": "R-kit",
"description": "Data manipulation functions implemented in C"
},
{
"name": "R-kknn",
"description": "Weighted k-nearest neighbors"
},
{
"name": "R-klaR",
"description": "Classification and visualization"
},
{
"name": "R-klic",
"description": "Kernel Learning Integrative Clustering"
},
{
"name": "R-klsh",
"description": "Blocking for record linkage"
},
{
"name": "R-km.ci",
"description": "Confidence intervals for the Kaplan–Meier estimator"
},
{
"name": "R-kmi",
"description": "Kaplan–Meier multiple imputation for the analysis of cumulative incidence functions in the competing risks setting"
},
{
"name": "R-kmndirs",
"description": "R interface to the k-mean-directions algorithm"
},
{
"name": "R-KMsurv",
"description": "Data sets and functions for Klein and Moeschberger (1997)"
},
{
"name": "R-knitcitations",
"description": "Citations for knitr markdown files"
},
{
"name": "R-knitr",
"description": "General-purpose literate programming engine"
},
{
"name": "R-knitrBootstrap",
"description": "R-knitr bootstrap framework"
},
{
"name": "R-knnmi",
"description": "k-Nearest Neighbor Mutual Information estimator"
},
{
"name": "R-KODAMA",
"description": "Knowledge discovery by accuracy maximization"
},
{
"name": "R-kohonen",
"description": "Supervised and unsupervised self-organising maps"
},
{
"name": "R-Kpart",
"description": "Cubic spline fitting with knot selection"
},
{
"name": "R-kriging",
"description": "Ordinary Kriging"
},
{
"name": "R-KrigInv",
"description": "Kriging-based inversion for deterministic and noisy computer experiments"
},
{
"name": "R-KRLS",
"description": "Kernel-based Regularized Least Squares"
},
{
"name": "R-KRMM",
"description": "Kernel Ridge Mixed Model"
},
{
"name": "R-ks",
"description": "Kernel Smoothing"
},
{
"name": "R-kSamples",
"description": "K-sample rank tests and their combinations"
},
{
"name": "R-KScorrect",
"description": "Lilliefors-corrected Kolmogorov–Smirnov goodness-of-fit tests"
},
{
"name": "R-KSgeneral",
"description": "Compute p-values of the K-S test for (dis)continuous null distribution"
},
{
"name": "R-kstMatrix",
"description": "Basic functions in knowledge space theory using matrix representation"
},
{
"name": "R-ktweedie",
"description": "Tweedie compound Poisson model in the reproducing kernel Hilbert space"
},
{
"name": "R-kuiper.2samp",
"description": "Two-sample Kuiper test"
},
{
"name": "R-kutils",
"description": "Project management tools"
},
{
"name": "R-kyotil",
"description": "Utility functions for statistical analysis report generation and Monte Carlo studies"
},
{
"name": "R-kzs",
"description": "Kolmogorov–Zurbenko spatial smoothing and applications"
},
{
"name": "R-l0ara",
"description": "Sparse generalized linear model with l0 approximation for feature selection"
},
{
"name": "R-l1ball",
"description": "L1-ball prior for sparse regression"
},
{
"name": "R-L1centrality",
"description": "Graph/network analysis based on l1 centrality"
},
{
"name": "R-L1pack",
"description": "Routines for L1 estimation"
},
{
"name": "R-l2boost",
"description": "Friedman’s boosting algorithm"
},
{
"name": "R-L2hdchange",
"description": "L2 inference for change points in high-dimensional time series"
},
{
"name": "R-labdsv",
"description": "Ordination and multivariate analysis for ecology"
},
{
"name": "R-label.switching",
"description": "Relabelling MCMC outputs of mixture models"
},
{
"name": "R-labeling",
"description": "Axis labelling"
},
{
"name": "R-labelled",
"description": "Manipulating labelled data"
},
{
"name": "R-labelr",
"description": "Label data frames, variables and values"
},
{
"name": "R-labelVector",
"description": "Label attributes for atomic vectors"
},
{
"name": "R-LAD",
"description": "Derive leaf angle distribution (LAD) from measured leaf inclination angles"
}
]
}