All packages

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s2 — 0.4-0

Google's S2 Library for Geometry on the Sphere

s20x — 3.1-28

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

s2dverification — 2.8.5

Set of Common Tools for Forecast Verification

S2sls — 0.1

Spatial Two Stage Least Squares Estimation

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

sabre — 0.2.1

Spatial Association Between Regionalizations

sac — 1.0.1

Semiparametric Analysis of Changepoint

saccades — 0.1-1

Detection of Fixations in Eye-Tracking Data

SACCR — 2.3

SA Counterparty Credit Risk under Basel III

SACOBRA — 0.7

Self-Adjusting COBRA

SADEG — 1.0.0

Stability Analysis in Differentially Expressed Genes

SADISA — 1.1

Species Abundance Distributions with Independent-Species Assumption

sadists — 0.2.3

Some Additional Distributions

sads — 0.4.2

Maximum Likelihood Models for Species Abundance Distributions

sae — 1.2

Small Area Estimation

sae2 — 0.1-1

Small Area Estimation: Time-series Models

saemix — 2.2

Stochastic Approximation Expectation Maximization (SAEM) Algorithm

saeRobust — 0.2.0

Robust Small Area Estimation

saery — 1.0

Small Area Estimation for Rao and Yu Model

saeSim — 0.10.0

Simulation Tools for Small Area Estimation

SAFD — 2.0

Statistical Analysis of Fuzzy Data

SafeBayes — 1.1

Generalized and Safe-Bayesian Ridge and Lasso Regression

safeBinaryRegression — 0.1-3

Safe Binary Regression

SafeQuant — 2.3.1

A Toolbox for the Analysis of Proteomics Data

safer — 0.2.1

Encrypt and Decrypt Strings, R Objects and Files

safetyGraphics — 0.7.3

Create Interactive Graphics Related to Clinical Trial Safety

SAGMM — 0.2.3

Clustering via Stochastic Approximation and Gaussian Mixture Models

sAIC — 1.0

Akaike Information Criterion for Sparse Estimation

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 — 0.1.2

An Implementation of 'Salesforce' APIs Using Tidy Principles

SALTSampler — 1.1.0

Efficient Sampling on the Simplex

salty — 0.1.0

Turn Clean Data into Messy Data

SAM — 1.1.2

Sparse Additive Modelling

sambia — 0.1.0

A Collection of Techniques Correcting for Sample Selection Bias

SAMCpack — 0.1.1

Stochastic Approximation Monte Carlo (SAMC) Sampler and Methods

SAMM — 1.1.1

Some Algorithms for Mixed Models

samon — 4.0.0

Sensitivity Analysis for Missing Data

Sample.Size — 1.0

Sample size calculation

sampler — 0.2.3

Sample Design, Drawing & Data Analysis Using Data Frames

SamplerCompare — 1.3.0

A Framework for Comparing the Performance of MCMC Samplers

sampleSelection — 1.2-6

Sample Selection Models

samplesize — 0.2-4

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

SampleSize4ClinicalTrials — 0.1.0

Sample Size Calculation for Mean and Proportion Comparisons in Phase 3 Clinical Trials

samplesize4surveys — 3.6.1.0

Sample Size Calculations for Complex Surveys

samplesizeCMH — 0.0.0

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

samplesizelogisticcasecontrol — 0.0.6

Sample Size Calculations for Case-Control Studies

SampleSizeMeans — 1.1

Sample size calculations for normal means

SampleSizeProportions — 1.0

Calculating sample size requirements when estimating the difference between two binomial proportions

sampling — 2.8

Survey Sampling

SamplingBigData — 1.0.0

Sampling Methods for Big Data

samplingbook — 1.2.2

Survey Sampling Procedures

samplingDataCRT — 1.0

Sampling Data Within Different Study Designs for Cluster Randomized Trials

samplingEstimates — 0.1-3

Sampling Estimates

SamplingStrata — 1.4-1

Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys

samplingVarEst — 1.3

Sampling Variance Estimation

sampSurf — 0.7-4

Sampling Surface Simulation for Areal Sampling Methods

samr — 3.0

SAM: Significance Analysis of Microarrays

SAMUR — 0.6

Stochastic Augmentation of Matched Data Using Restriction Methods

SAMURAI — 1.2.1

Sensitivity Analysis of a Meta-analysis with Unpublished but Registered Analytical Investigations

sand — 1.0.3

Statistical Analysis of Network Data with R

sandwich — 2.5-1

Robust Covariance Matrix Estimators

SanFranBeachWater — 0.1.0

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

sanitizers — 0.1.0

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

sankey — 1.0.2

Illustrate the Flow of Information or Material

sanon — 1.5

Stratified Analysis with Nonparametric Covariable Adjustment

santaR — 1.0

Short Asynchronous Time-Series Analysis

SanzCircos — 0.1.0

Functions for Creating 'Circos' Files

saotd — 0.2.0

Sentiment Analysis of Twitter Data

sapa — 2.0-2

Spectral Analysis for Physical Applications

sapfluxnetr — 0.0.7

Working with 'Sapfluxnet' Project Data

SAPP — 1.0.7

Statistical Analysis of Point Processes

SAR — 1.0.1

Smart Adaptive Recommendations

sarima — 0.8.1

Simulation and Prediction with Seasonal ARIMA Models

SARP.compo — 0.1.0

Network-Based Interpretation of Changes in Compositional Data

SARP.moodle — 0.3.10

XML Output Functions for Easy Creation of Moodle Questions

sars — 1.1.1

Fit and Compare Species-Area Relationship Models Using Multimodel Inference

sas7bdat — 0.5

SAS Database Reader (experimental)

SAScii — 1.0

Import ASCII files directly into R using only a SAS input script

sasMap — 1.0.0

Static 'SAS' Code Analysis

SASmarkdown — 0.4.3

'SAS' Markdown

SASmixed — 1.0-4

Data sets from "SAS System for Mixed Models"

SASPECT — 0.1-1

Significant AnalysiS of PEptide CounTs.

SASxport — 1.6.0

Read and Write 'SAS' 'XPORT' Files

satellite — 1.0.1

Handling and Manipulating Remote Sensing Data

satscanMapper — 1.0.1

'SaTScan' (TM) Results Mapper

saturnin — 1.1.1

Spanning Trees Used for Network Inference

SAutomata — 0.1.0

Inference and Learning in Stochastic Automata

SAVE — 1.0

Bayesian Emulation, Calibration and Validation of Computer Models

SAVER — 1.1.1

Single-Cell RNA-Seq Gene Expression Recovery

saves — 0.5

Fast load variables

saws — 0.9-6.1

Small-Sample Adjustments for Wald tests Using Sandwich Estimators

sazedR — 2.0.0

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

sbart — 0.1.1

Sequential BART for Imputation of Missing Covariates

sBF — 1.1.1

Smooth Backfitting

sbfc — 1.0.1

Selective Bayesian Forest Classifier

sbgcop — 0.980

Semiparametric Bayesian Gaussian Copula Estimation and Imputation

sBIC — 0.2.0

Computing the Singular BIC for Multiple Models

sbioPN — 1.1.0

sbioPN: Simulation of deterministic and stochastic spatial biochemical reaction networks using Petri Nets

sbl — 0.1.0

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

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