rPackages

Scale Alignment for Between-Items Multidimensional Rasch Family Models

Approximately Unbiased P-Values via Multiscale Bootstrap

Create Scale Linkage Scores

Scale Functions for Visualization

Scalable Spike-and-Slab

Processes Calcium Imaging Data

Scaled Sparse Linear Regression

Shape Constrained Additive Models

Single-Case Data Analyses for Single and Multiple Baseline Designs

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

Space-Time Anomaly Detection using Scan Statistics

Statistical Catch-at-Age Plotting Environment

Single Cell Transcriptomics-Level Cytokine Activity Prediction and Estimation

User-Defined Classification of Raster Surfaces

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

Shape-Constrained Additive Regression: a Maximum Likelihood Approach

Optimization Toolkit for Pharmacokinetic-Pharmacodynamic Models

Create Scatter Plots with Marginal Density or Box Plots

Scattered Stacked Bar Chart Plots

D3 JavaScript Scatterplot from R

Density Estimation and Visualization of 2D Scatter Plots

Scatterplots with More Points

Scatter Pie Plot

3D Scatter Plot

`htmlwidget` for a Scatter Plot Matrix

Identifies Mean, Variance, and Hierarchically Clustered Biclusters

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

Simultaneous Confidence Bands for the Mean of Functional Data

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

Single Channel Bursts Analysis

Single-Cell Clustering using Autoencoder and Network Fusion

Single Cell Cluster-Based Annotation Toolkit for Cellular Heterogeneity

Single-Cell Correlation Based Cell Type Annotation

Stochastic Complexity-Based Conditional Independence Test for Discrete Data

Size-Constrained Clustering

Core Utilities for Single-Cell RNA-Seq

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

The Self-Controlled Case Series Method

Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing

Spatially-Clustered Data Analysis

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

Estimating Dynamic Correlation

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

Shape-Constrained Kernel Density Estimation

Single-Cell Decomposition using Hierarchical Autoencoder

Estimating Hierarchical Linear Models for Single-Case Designs

Differential Analysis of Intercellular Communication from scRNA-Seq Data

Item-Wise Score-Based DIF Detection

Single Case Design Tools

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

Splitting-Coalescence-Estimation Method

Switch Between Alternative 'shiny' UIs

Single Cell Entropy Analysis of Gene Heterogeneity in Cell Populations

Stellar CharactEristics Pisa Estimation gRid

Stellar CharactEristics Pisa Estimation gRid for Binary Systems

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

Clear Monitor and Graphing Software Processing Gaussian .log

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

Supervised Component Generalized Linear Regression

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