All packages

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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

scDHA — 1.2.1

Single-Cell Decomposition using Hierarchical Autoencoder

scdhlm — 0.7.3

Estimating Hierarchical Linear Models for Single-Case Designs

scDiffCom — 1.0.0

Differential Analysis of Intercellular Communication from scRNA-Seq Data

scDIFtest — 0.1.1

Item-Wise Score-Based DIF Detection

scellpam — 1.4.5

Applying Partitioning Around Medoids to Single Cell Data with High Number of Cells

SCEM — 1.1.0

Splitting-Coalescence-Estimation Method

scenes — 0.1.0

Switch Between Alternative 'shiny' UIs

SCEnt — 0.0.1

Single Cell Entropy Analysis of Gene Heterogeneity in Cell Populations

SCEPtER — 0.2-4

Stellar CharactEristics Pisa Estimation gRid

SCEPtERbinary — 0.1-1

Stellar CharactEristics Pisa Estimation gRid for Binary Systems

scfetch — 0.5.0

Access and Format Single-Cell RNA-Seq Datasets from Public Resources

scGate — 1.6.0

Marker-Based Cell Type Purification for Single-Cell Sequencing Data

SCGLR — 3.0

Supervised Component Generalized Linear Regression

scGOclust — 0.2.1

Measuring Cell Type Similarity with Gene Ontology in Single-Cell RNA-Seq

scgwr — 0.1.2-21

Scalable Geographically Weighted Regression

schemr — 0.2.0

Convert Images to Usable Color Schemes

schoenberg — 2.0.3

Tools for 12-Tone Musical Composition

scholar — 0.2.4

Analyse Citation Data from Google Scholar

SchoolDataIT — 0.1.1

Retrieve, Harmonise and Map Open Data Regarding the Italian School System

schoolmath — 0.4.2

Functions and Datasets for Math Used in School

schoRsch — 1.10

Tools for Analyzing Factorial Experiments

schrute — 1.0.1

The Entire Transcript from the Office in Tidy Format

schtools — 0.4.1

Schloss Lab Tools for Reproducible Microbiome Research

schumaker — 1.2.1

Schumaker Shape-Preserving Spline

SCI — 1.0-2

Standardized Climate Indices Such as SPI, SRI or SPEI

SCIBER — 0.2.2

Single-Cell Integrator and Batch Effect Remover

scico — 1.5.0

Colour Palettes Based on the Scientific Colour-Maps

scicomptools — 1.0.0

Tools Developed by the NCEAS Scientific Computing Support Team

scidesignR — 1.0.0

Data Sets from Design and Analysis of Experiments and Observational Studies using R

scientific — 2024.1

Elegant Scientific Themed Reporting for 'Markdown'

scientoText — 0.1

Text & Scientometric Analytics

scifigure — 0.2

Visualize 'Reproducibility' and 'Replicability' in a Comparison of Scientific Studies

SCINA — 1.2.0

A Semi-Supervised Category Identification and Assignment Tool

scINSIGHT — 0.1.4

Interpretation of Heterogeneous Single-Cell Gene Expression Data

sciplot — 1.2-0

Scientific Graphing Functions for Factorial Designs

scipub — 1.2.3

Summarize Data for Scientific Publication

sciRmdTheme — 0.1

Upgraded 'Rmarkdown' Themes for Scientific Writing

scISR — 0.1.1

Single-Cell Imputation using Subspace Regression

scistreer — 1.2.0

Maximum-Likelihood Perfect Phylogeny Inference at Scale

scitb — 0.1.7

Provides Some Useful Functions for Making Statistical Tables

scITD — 1.0.4

Single-Cell Interpretable Tensor Decomposition

SciViews — 0.9-13.1

SciViews - Main package

scLink — 1.0.1

Inferring Functional Gene Co-Expression Networks from Single Cell Data

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