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s2 — 1.0.7

Spherical Geometry Operators Using the S2 Geometry Library

s20x — 3.1-31

Functions for University of Auckland Course STATS 201/208 Data Analysis

s2dv — 1.1.0

A Set of Common Tools for Seasonal to Decadal Verification

s2dverification — 2.10.3

Set of Common Tools for Forecast Verification

s2net — 1.0.1

The Generalized Semi-Supervised Elastic-Net

S2sls — 0.1

Spatial Two Stage Least Squares Estimation

s3.resourcer — 1.0.1

S3 Resource Resolver

s4vd — 1.1-1

Biclustering via Sparse Singular Value Decomposition Incorporating Stability Selection

saasCNV — 0.3.4

Somatic Copy Number Alteration Analysis Using Sequencing and SNP Array Data

sabarsi — 0.1.0

Background Removal and Spectrum Identification for SERS Data

sabre — 0.4.0

Spatial Association Between Regionalizations

sac — 1.0.2

Semiparametric Analysis of Change-Point

SACCR — 3.2

SA Counterparty Credit Risk under CRR2

SACOBRA — 1.2

Self-Adjusting COBRA

sad — 0.1.3

Verify the Scale, Anisotropy and Direction of Weather Forecasts

SADEG — 1.0.0

Stability Analysis in Differentially Expressed Genes

SADISA — 1.2

Species Abundance Distributions with Independent-Species Assumption

sadists — 0.2.4

Some Additional Distributions

sads — 0.4.2

Maximum Likelihood Models for Species Abundance Distributions

sae — 1.3

Small Area Estimation

saeBest — 0.1.0

Selecting Auxiliary Variables in Small Area Estimation (SAE) Model

saeeb — 0.1.0

Small Area Estimation for Count Data

saeHB — 0.2.1

Small Area Estimation using Hierarchical Bayesian Method

saeHB.gpois — 0.1.0

SAE using HB Method under Generalized Poisson Distribution

saeHB.hnb — 0.1.0

Small Area Estimation under Hurdle Negative Binomial Distribution using Hierarchical Bayesian Method

saeHB.ME — 1.0

Small Area Estimation with Measurement Error using Hierarchical Bayesian Method

saeHB.panel — 0.1.1

Small Area Estimation using Hierarchical Bayesian Method for Rao Yu Model

saeHB.spatial — 0.1.0

Small Area Estimation under Spatial SAR Model using Hierarchical Bayesian Method

saeHB.twofold — 0.1.1

Hierarchical Bayes Twofold Subarea Level Model SAE

saeHB.ZIB — 0.1.0

Small Area Estimation under ZIB Distribution using Hierarchical Bayesian

saeHB.zinb — 0.1.0

Small Area Estimation using Hierarchical Bayesian under Zero Inflated Negative Binomial Distribution

saekernel — 0.1.1

Small Area Estimation Non-Parametric Based Nadaraya-Watson Kernel

saeME — 1.3

Small Area Estimation with Measurement Error

saemix — 3.0

Stochastic Approximation Expectation Maximization (SAEM) Algorithm

saeMSPE — 1.0

Compute MSPE Estimates for the Fay Herriot Model and Nested Error Regression Model

saeRobust — 0.2.0

Robust Small Area Estimation

saery — 1.0

Small Area Estimation for Rao and Yu Model

saeSim — 0.11.0

Simulation Tools for Small Area Estimation

SAEval — 0.1.5

Small Area Estimation Evaluation

SAFARI — 0.1.0

Shape Analysis for AI-Reconstructed Images

SAFD — 2.1

Statistical Analysis of Fuzzy Data

safeBinaryRegression — 0.1-3

Safe Binary Regression

safedata — 1.1.1

Interface to Data from the SAFE Project

safejoin — 0.1.0

Perform "Safe" Table Joins

safer — 0.2.1

Encrypt and Decrypt Strings, R Objects and Files

safestats — 0.8.6

Safe Anytime-Valid Inference

safetyCharts — 0.3.0

Charts for Monitoring Clinical Trial Safety

safetyData — 1.0.0

Clinical Trial Data

safetyGraphics — 2.1.0

Interactive Graphics for Monitoring Clinical Trial Safety

sageR — 0.3.0

Applied Statistics for Economics and Management with R

SAGMM — 0.2.4

Clustering via Stochastic Approximation and Gaussian Mixture Models

sahpm — 1.0.1

Variable Selection using Simulated Annealing

sAIC — 1.0

Akaike Information Criterion for Sparse Estimation

sail — 0.1.0

Sparse Additive Interaction Learning

SailoR — 1.2

An Extension of the Taylor Diagram to Two-Dimensional Vector Data

SALES — 1.0.0

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

salesforcer — 1.0.1

An Implementation of 'Salesforce' APIs Using Tidy Principles

salso — 0.3.0

Search Algorithms and Loss Functions for Bayesian Clustering

SALTSampler — 1.1.0

Efficient Sampling on the Simplex

salty — 0.1.0

Turn Clean Data into Messy Data

SAM — 1.1.3

Sparse Additive Modelling

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 — 2.0.0

Spatial Absorbing Markov Chains

SAMGEP — 0.1.0-1

A Semi-Supervised Method for Prediction of Phenotype Event Times

SAMM — 1.1.1

Some Algorithms for Mixed Models

samon — 4.0.1

Sensitivity Analysis for Missing Data

Sample.Size — 1.0

Sample size calculation

sampler — 0.2.4

Sample Design, Drawing & Data Analysis Using Data Frames

SamplerCompare — 1.3.2

A Framework for Comparing the Performance of MCMC Samplers

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 — 0.0.0

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

samplesizelogisticcasecontrol — 2.0.0

Sample Size and Power Calculations for Case-Control Studies

sampleVADIR — 1.0.0

Draw Stratified Samples from the VADIR Database

sampling — 2.9

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

samplingEstimates — 0.1-3

Sampling Estimates

SamplingStrata — 1.5-2

Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys

samplingVarEst — 1.4

Sampling Variance Estimation

sampsizeval — 1.0.0.0

Sample Size for Validation of Risk Models with Binary Outcomes

sampSurf — 0.7-6

Sampling Surface Simulation for Areal Sampling Methods

samr — 3.0

SAM: Significance Analysis of Microarrays

sams — 0.4.3

Merge-Split Samplers for Conjugate Bayesian Nonparametric Models

SAMtool — 1.3.1

Stock Assessment Methods Toolkit

SAMTx — 0.3.0

Sensitivity Assessment to Unmeasured Confounding with Multiple Treatments

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 — 3.0-1

Robust Covariance Matrix Estimators

sandwichr — 1.0.1

Spatial Interpolation Based on Spatial Stratified Heterogeneity

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 — 0.0.1

Solving Ax = b Nimbly in C++

sanitizers — 0.1.0

C/C++ source code to trigger Address and Undefined Behaviour Sanitizers

sanityTracker — 0.1.0

Keeps Track of all Performed Sanity Checks

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