All packages

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SALES — 1.0.2

The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymmetric Least Squares (SALES) and Coupled Sparse Asymmetric Least Squares (COSALES) using Coordinate Descent and Proximal Gradient Algorithms

salesforcer — 1.0.2

An Implementation of 'Salesforce' APIs Using Tidy Principles

salso — 0.3.42

Search Algorithms and Loss Functions for Bayesian Clustering

SALTSampler — 1.1.0

Efficient Sampling on the Simplex

salty — 0.1.1

Turn Clean Data into Messy Data

SAM — 1.1.3

Sparse Additive Modelling

samadb — 0.3.0

South Africa Macroeconomic Database API

SAMBA — 0.9.0

Selection and Misclassification Bias Adjustment for Logistic Regression Models

sambia — 0.1.0

A Collection of Techniques Correcting for Sample Selection Bias

samc — 4.0.0

Spatial Absorbing Markov Chains

SAME — 0.1.0

Seamless Adaptive Multi-Arm Multi-Stage Enrichment

SAMGEP — 0.1.0-1

A Semi-Supervised Method for Prediction of Phenotype Event Times

samon — 4.0.2

Sensitivity Analysis for Missing Data

sampbias — 2.0.0

Evaluating Geographic Sampling Bias in Biological Collections

sampcompR — 0.2.4

Comparing and Visualizing Differences Between Surveys

sampledatasets — 0.1.0

A Collection of Sample Datasets

sampler — 0.2.4

Sample Design, Drawing & Data Analysis Using Data Frames

sampleSelection — 1.2-12

Sample Selection Models

samplesize — 0.2-4

Sample Size Calculation for Various t-Tests and Wilcoxon-Test

SampleSize4ClinicalTrials — 0.2.3

Sample Size Calculation for the Comparison of Means or Proportions in Phase III Clinical Trials

samplesize4surveys — 4.1.1

Sample Size Calculations for Complex Surveys

samplesizeCMH — 0.0.3

Power and Sample Size Calculation for the Cochran-Mantel-Haenszel Test

SampleSizeDiagnostics — 0.1.0

Choosing Sample Size for Evaluating a Diagnostic Test

samplesizeestimator — 1.0.0

Calculate Sample Size for Various Scenarios

samplesizelogisticcasecontrol — 2.0.2

Sample Size and Power Calculations for Case-Control Studies

SampleSizeMeans — 1.2.3

Sample Size Calculations for Normal Means

SampleSizeProportions — 1.1.3

Calculating Sample Size Requirements when Estimating the Difference Between Two Binomial Proportions

sampleVADIR — 1.0.0

Draw Stratified Samples from the VADIR Database

sampling — 2.10

Survey Sampling

SamplingBigData — 1.0.0

Sampling Methods for Big Data

samplingbook — 1.2.4

Survey Sampling Procedures

samplingDataCRT — 1.0

Sampling Data Within Different Study Designs for Cluster Randomized Trials

samplingin — 1.1.1

Dynamic Survey Sampling Solutions

samplingR — 1.0.1

Sampling and Estimation Methods

SamplingStrata — 1.5-4

Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys

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 — 2.2.0

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

saturnin — 1.1.1

Spanning Trees Used for Network Inference

SAutomata — 0.1.0

Inference and Learning in Stochastic Automata

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