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"name": "R-kebabs",
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{
"name": "R-keep",
"description": "Arrays with better control over dimension dropping"
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{
"name": "R-KEGGgraph",
"description": "A graph approach to KEGG pathway in R and Bioconductor"
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{
"name": "R-KEGGREST",
"description": "Client-side REST access to the Kyoto Encyclopedia of Genes and Genomes (KEGG)"
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"name": "R-Kendall",
"description": "Kendall Rank Correlation and Mann–Kendall Trend Test"
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{
"name": "R-kerDAA",
"description": "New kernel-based test for differential association analysis"
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{
"name": "R-KERE",
"description": "Expectile regression in reproducing kernel Hilbert space"
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{
"name": "R-kernelboot",
"description": "Smoothed bootstrap and random generation from kernel densities"
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{
"name": "R-KernelKnn",
"description": "Kernel k-nearest neighbors"
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{
"name": "R-kernelshap",
"description": "Kernel SHAP"
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{
"name": "R-kernhaz",
"description": "Kernel estimation of hazard function in survival analysis"
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{
"name": "R-kernlab",
"description": "Kernel-based machine learning lab"
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{
"name": "R-KernSmooth",
"description": "Functions for kernel smoothing (and density estimation)"
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{
"name": "R-keyATM",
"description": "Keyword Assisted Topic Models"
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{
"name": "R-keyring",
"description": "Access the system credential store from R"
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"name": "R-KFAS",
"description": "Kalman filter and smoother for exponential family state space models"
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"name": "R-kgrams",
"description": "Classical k-gram language models"
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{
"name": "R-khroma",
"description": "Color schemes for scientific data visualization"
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{
"name": "R-kimfilter",
"description": "Kim Filter"
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{
"name": "R-kinship2",
"description": "Pedigree functions"
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{
"name": "R-kit",
"description": "Data manipulation functions implemented in C"
},
{
"name": "R-kknn",
"description": "Weighted k-nearest neighbors"
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{
"name": "R-klaR",
"description": "Classification and visualization"
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{
"name": "R-klic",
"description": "Kernel Learning Integrative Clustering"
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{
"name": "R-klsh",
"description": "Blocking for record linkage"
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{
"name": "R-km.ci",
"description": "Confidence intervals for the Kaplan–Meier estimator"
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{
"name": "R-kmi",
"description": "Kaplan–Meier multiple imputation for the analysis of cumulative incidence functions in the competing risks setting"
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{
"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"
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{
"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"
}
]
}