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"description": "Automatic interpolation package"
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"description": "Automatic Structural Time Series Models"
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"description": "Novel automatic shifted log transformation"
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"description": "Automatic model selection and prediction for univariate time series"
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"name": "R-aws",
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"name": "R-aws.s3",
"description": "AWS S3 client package"
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"name": "R-aws.signature",
"description": "Amazon Web Services request signatures"
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"name": "R-awsMethods",
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"description": "Efficient model functions for bagging"
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"name": "R-bannerCommenter",
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"description": "Hierarchical Bayesian ANOVA models"
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"name": "R-bark",
"description": "Bayesian Additive Regression Kernels"
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{
"name": "R-BART",
"description": "Bayesian Additive Regression Trees"
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"description": "Bayesian Additive Regression Trees using Bayesian Model Averaging"
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"name": "R-bartCause",
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"description": "Bayesian Additive Regression Trees for Confounder Selection"
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"description": "Bayesian variable selection and model averaging via Bayesian adaptive sampling"
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"description": "Bayesian variable selection with shrinking and diffusing priors"
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"name": "R-base64enc",
"description": "Tools for base64 encoding"
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"name": "R-base64url",
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"description": "Infrastructure for computing with basis functions"
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"description": "Baseline models for classification and regression"
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"description": "Work with sets the tidy way"
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"name": "R-basicMCMCplots",
"description": "Trace plots, density plots and chain comparisons for MCMC samples"
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{
"name": "R-BASS",
"description": "Bayesian Adaptive Spline Surfaces"
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{
"name": "R-BatchJobs",
"description": "Batch computing with R"
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{
"name": "R-batchmeans",
"description": "Consistent batch means estimation of Monte Carlo standard errors"
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{
"name": "R-batchtools",
"description": "Tools for computation on batch systems"
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{
"name": "R-baycn",
"description": "Bayesian inference for causal networks"
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{
"name": "R-bayefdr",
"description": "Bayesian estimation and optimisation of expected FDR and expected FNR"
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}