All packages

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samplingVarEst — 1.5

Sampling Variance Estimation

samplr — 1.0.1

Compare Human Performance to Sampling Algorithms

samplrData — 1.0.0

Datasets from the SAMPLING Project

SAMprior — 1.1.1

Self-Adapting Mixture (SAM) Priors

sampsizeval — 1.0.0.0

Sample Size for Validation of Risk Models with Binary Outcomes

samr — 3.0

SAM: Significance Analysis of Microarrays

sams — 0.4.3

Merge-Split Samplers for Conjugate Bayesian Nonparametric Models

SAMtool — 1.8.0

Stock Assessment Methods Toolkit

SAMTx — 0.3.0

Sensitivity Assessment to Unmeasured Confounding with Multiple Treatments

SAMUR — 1.1

Stochastic Augmentation of Matched Data Using Restriction Methods

samurais — 0.1.0

Statistical Models for the Unsupervised Segmentation of Time-Series ('SaMUraiS')

sand — 2.0.0

Statistical Analysis of Network Data with R, 2nd Edition

sandbox — 0.2.1

Probabilistic Numerical Modelling of Sediment Properties

sandwich — 3.1-1

Robust Covariance Matrix Estimators

SanFranBeachWater — 0.1.0

Downloads and Tidies the San Francisco Public Utilities Commission Beach Water Quality Monitoring Program Data

SangerTools — 1.0.2

Tools for Population Health Management Analytics

sanic — 0.0.2

Solving Ax = b Nimbly in C++

sanitizers — 0.1.1

C/C++ Source Code to Trigger Address and Undefined Behaviour Sanitizers

sanityTracker — 0.1.0

Keeps Track of all Performed Sanity Checks

sanketphonetictranslator — 0.1.0

Phonetic Transliteration Between Hindi and English

sankey — 1.0.2

Illustrate the Flow of Information or Material

sankeywheel — 0.1.0

Create Dependency Wheels and Sankey Diagrams

sanon — 1.6

Stratified Analysis with Nonparametric Covariable Adjustment

SANple — 0.1.1

Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo

sansa — 0.0.1

Synthetic Data Generation for Imbalanced Learning in 'R'

santaR — 1.2.4

Short Asynchronous Time-Series Analysis

santoku — 1.0.0

A Versatile Cutting Tool

SANvi — 0.1.1

Fitting Shared Atoms Nested Models via Variational Bayes

sanzo — 0.1.0

Color Palettes Based on the Works of Sanzo Wada

saotd — 0.3.1

Sentiment Analysis of Twitter Data

SAP — 1.0

Statistical Analysis and Programming

sapevom — 0.2.0

Group Ordinal Method for Multiple Criteria Decision-Making

sapfluxnetr — 0.1.4

Working with 'Sapfluxnet' Project Data

sapo — 0.8.0

Spatial Association of Different Types of Polygon

SAPP — 1.0.9-1

Statistical Analysis of Point Processes

saqgetr — 0.2.21

Import Air Quality Monitoring Data in a Fast and Easy Way

SAR — 1.0.3

Smart Adaptive Recommendations

sara4r — 0.1.0

An R-GUI for Spatial Analysis of Surface Runoff using the NRCS-CN Method

sarima — 0.9.3

Simulation and Prediction with Seasonal ARIMA Models

saros — 1.2.0

Semi-Automatic Reporting of Ordinary Surveys

saros.base — 0.2.1

Base Tools for Semi-Automatic Reporting of Ordinary Surveys

SARP.compo — 0.1.8

Network-Based Interpretation of Changes in Compositional Data

SARP.moodle — 1.0.4

XML Output Functions for Easy Creation of Moodle Questions

sarp.snowprofile — 1.3.2

Snow Profile Analysis for Snowpack and Avalanche Research

sarp.snowprofile.alignment — 2.0.2

Snow Profile Alignment, Aggregation, and Clustering

sarp.snowprofile.pyface — 0.1.3

'python' Modules from Snowpack and Avalanche Research

sars — 1.3.7

Fit and Compare Species-Area Relationship Models Using Multimodel Inference

sarsop — 0.6.15

Approximate POMDP Planning Software

sas7bdat — 0.8

sas7bdat Reverse Engineering Documentation

SAScii — 1.0.2

Import ASCII Files Directly into R using Only a 'SAS' Input Script

SASdates — 0.1.0

Convert the Dates to 'SAS' Formats

sasfunclust — 1.0.0

Sparse and Smooth Functional Clustering

sasLM — 0.10.5

'SAS' Linear Model

SASmarkdown — 0.8.2

'SAS' Markdown

SASmixed — 1.0-4

Data sets from "SAS System for Mixed Models"

sasr — 0.1.2

'SAS' Interface

sass — 0.4.9

Syntactically Awesome Style Sheets ('Sass')

sassy — 1.2.5

Makes 'R' Easier for Everyone

satdad — 1.1

Sensitivity Analysis Tools for Dependence and Asymptotic Dependence

sate — 2.2.1

Scientific Analysis of Trial Errors (SATE)

satellite — 1.0.5

Handling and Manipulating Remote Sensing Data

satin — 1.1.0

Visualisation and Analysis of Ocean Data Derived from Satellites

satres — 1.1.1

Grouping Satellite Bands by Spectral and Spatial Resolution

SaturnCoefficient — 1.3

Statistical Evaluation of UMAP Dimensionality Reductions

saturnin — 1.1.1

Spanning Trees Used for Network Inference

SAutomata — 0.1.0

Inference and Learning in Stochastic Automata

SAVER — 1.1.2

Single-Cell RNA-Seq Gene Expression Recovery

savonliquide — 0.2.0

Accessibility Toolbox for 'R' Users

savvyr — 0.1.1

Survival Analysis for AdVerse Events with VarYing Follow-Up Times

sawnuti — 0.1.1

Comparing Sequences with Non-Uniform Time Intervals

saws — 0.9-7.0

Small-Sample Adjustments for Wald Tests Using Sandwich Estimators

sazedR — 2.0.2

Parameter-Free Domain-Agnostic Season Length Detection in Time Series

SBAGM — 0.1.0

Search Best ARIMA, GARCH, and MS-GARCH Model

SBCK — 1.0.0

Statistical Bias Correction Kit

sbd — 0.1.0

Size Biased Distributions

sbde — 1.0-1

Semiparametric Bayesian Density Estimation

SBdecomp — 1.2

Estimation of the Proportion of SB Explained by Confounders

sbfc — 1.0.3

Selective Bayesian Forest Classifier

sbgcop — 0.980

Semiparametric Bayesian Gaussian Copula Estimation and Imputation

SBI — 0.1.1

Simple Blinding Index for Randomized Controlled Trials

sBIC — 0.2.0

Computing the Singular BIC for Multiple Models

SBICgraph — 1.0.0

Structural Bayesian Information Criterion for Graphical Models

sbl — 0.1.0

Sparse Bayesian Learning for QTL Mapping and Genome-Wide Association Studies

sbm — 0.4.7

Stochastic Blockmodels

SBmedian — 0.1.1

Scalable Bayes with Median of Subset Posteriors

sbmSDP — 0.2

Semidefinite Programming for Fitting Block Models of Equal Block Sizes

SBMSplitMerge — 1.1.1

Inference for a Generalised SBM with a Split Merge Sampler

SBMTrees — 1.2

Sequential Imputation with Bayesian Trees Mixed-Effects Models for Longitudinal Data

SBN — 1.0.0

Generate Stochastic Branching Networks

sbo — 0.5.0

Text Prediction via Stupid Back-Off N-Gram Models

sboost — 0.1.2

Machine Learning with AdaBoost on Decision Stumps

sbrl — 1.4

Scalable Bayesian Rule Lists Model

SBSDiff — 0.1.0

Satorra-Bentler Scaled Chi-Squared Difference Test

sbtools — 1.3.2

USGS ScienceBase Tools

sbw — 1.1.9

Stable Balancing Weights for Causal Inference and Missing Data

SC.MEB — 1.1

Spatial Clustering with Hidden Markov Random Field using Empirical Bayes

SC2API — 1.0.0

Blizzard SC2 API Wrapper

sc2sc — 0.0.1-14

Spatial Transfer of Statistics among Spanish Census Sections

sca — 0.9-2

Simple Component Analysis

scaffolder — 0.0.1

Scaffolding Interfaces to Packages in Other Programming Languages

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