All packages

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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 — 1.0.4

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 — 1.2.2

Snow Profile Alignment, Aggregation, and Clustering

sarp.snowprofile.pyface — 0.1.3

'python' Modules from Snowpack and Avalanche Research

sars — 1.3.6

Fit and Compare Species-Area Relationship Models Using Multimodel Inference

sarsop — 0.6.14

Approximate POMDP Planning Software

sas7bdat — 0.7

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 — 0.10.2

'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 — 1.2.3

Makes 'R' Easier for Everyone

satdad — 1.1

Sensitivity Analysis Tools for Dependence and Asymptotic Dependence

sate — 2.1.0

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

SAVER — 1.1.2

Single-Cell RNA-Seq Gene Expression Recovery

savonliquide — 0.2.0

Accessibility Toolbox for 'R' Users

savvyr — 0.1.0

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

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

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 — 0.4.6

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

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 — 1.3

Scalable Bayesian Rule Lists Model

SBSDiff — 0.1.0

Satorra-Bentler Scaled Chi-Squared Difference Test

sbtools — 1.3.2

USGS ScienceBase Tools

sbw — 1.1.5

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 — 0.0.1-12

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

scagnostics — 0.2-6

Compute scagnostics - scatterplot diagnostics

scaleAlign — 1.0.0.0

Scale Alignment for Between-Items Multidimensional Rasch Family Models

scaleboot — 1.0-1

Approximately Unbiased P-Values via Multiscale Bootstrap

Scalelink — 1.0

Create Scale Linkage Scores

scales — 1.3.0

Scale Functions for Visualization

ScaleSpikeSlab — 1.0

Scalable Spike-and-Slab

scalpel — 1.0.3

Processes Calcium Imaging Data

scalreg — 1.0.1

Scaled Sparse Linear Regression

scam — 1.2-16

Shape Constrained Additive Models

scan — 0.60.0

Single-Case Data Analyses for Single and Multiple Baseline Designs

scAnnotate — 0.3

An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data

scanstatistics — 1.1.1

Space-Time Anomaly Detection using Scan Statistics

scape — 2.3.3

Statistical Catch-at-Age Plotting Environment

scaper — 0.1.0

Single Cell Transcriptomics-Level Cytokine Activity Prediction and Estimation

scapesClassification — 1.0.0

User-Defined Classification of Raster Surfaces

scapGNN — 0.1.4

Graph Neural Network-Based Framework for Single Cell Active Pathways and Gene Modules Analysis

scar — 0.2-2

Shape-Constrained Additive Regression: a Maximum Likelihood Approach

scaRabee — 1.1-4

Optimization Toolkit for Pharmacokinetic-Pharmacodynamic Models

scatr — 1.0.1

Create Scatter Plots with Marginal Density or Box Plots

scatterD3 — 1.0.1

D3 JavaScript Scatterplot from R

ScatterDensity — 0.0.4

Density Estimation and Visualization of 2D Scatter Plots

scattermore — 1.2

Scatterplots with More Points

scatterpie — 0.2.1

Scatter Pie Plot

scatterplot3d — 0.3-44

3D Scatter Plot

scatterPlotMatrix — 0.2.0

'Htmlwidget' for a Scatter Plot Matrix

SCBiclust — 1.0.1

Identifies Mean, Variance, and Hierarchically Clustered Biclusters

scBio — 0.1.6

Single Cell Genomics for Enhancing Cell Composition Inference from Bulk Genomics Data

SCBmeanfd — 1.2.2

Simultaneous Confidence Bands for the Mean of Functional Data

scBSP — 0.0.1

A Fast Tool for Single-Cell Spatially Variable Genes Identifications on Large-Scale Data

scbursts — 1.6

Single Channel Bursts Analysis

scCATCH — 3.2.2

Single Cell Cluster-Based Annotation Toolkit for Cellular Heterogeneity

sccca — 0.1.1

Single-Cell Correlation Based Cell Type Annotation

SCCI — 1.2

Stochastic Complexity-Based Conditional Independence Test for Discrete Data

scclust — 0.2.4

Size-Constrained Clustering

sccore — 1.0.5

Core Utilities for Single-Cell RNA-Seq

sccr — 2.1

The Self-Consistent, Competing Risks (SC-CR) Algorithms

scCustomize — 2.1.2

Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing

SCDB — 0.4.0

Easily Access and Maintain Time-Based Versioned Data (Slowly-Changing-Dimension)

SCdeconR — 1.0.0

Deconvolution of Bulk RNA-Seq Data using Single-Cell RNA-Seq Data as Reference

scdensity — 1.0.2

Shape-Constrained Kernel Density Estimation

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