All packages

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shinyTime — 1.0.3

A Time Input Widget for Shiny

shinytitle — 0.1.0

Update Browser Window Title in 'shiny' Session

shinyToastify — 2.0.0

Pretty Notifications for 'Shiny'

shinytoastr — 2.2.0

Notifications from 'Shiny'

shinyTree — 0.3.1

jsTree Bindings for Shiny

shinyvalidate — 0.1.3

Input Validation for Shiny Apps

shinyWidgets — 0.8.7

Custom Inputs Widgets for Shiny

shinyXYpad — 0.2.0

XY Controller for 'Shiny'

shipunov — 1.17.1

Miscellaneous Functions from Alexey Shipunov

shock — 1.0

Slope Heuristic for Block-Diagonal Covariance Selection in High Dimensional Gaussian Graphical Models

shopifyadsR — 0.1.0

Get 'Shopify' Ads Data via the 'Windsor.ai' API

shopifyr — 1.0.0

An R Interface to the Shopify API

shoredate — 1.1.1

Shoreline Dating Coastal Stone Age Sites

shortcuts — 1.4.0

Useful Shortcuts to Interact with 'RStudio' Scripts

ShortForm — 0.5.5

Automatic Short Form Creation

shortIRT — 0.1.3

Procedures Based on Item Response Theory Models for the Development of Short Test Forms

shorts — 3.2.0

Short Sprints

shotGroups — 0.8.2

Analyze Shot Group Data

showimage — 1.0.0

Show an Image on an 'R' Graphics Device

showtext — 0.9-7

Using Fonts More Easily in R Graphs

showtextdb — 3.0

Font Files for the 'showtext' Package

shp2graph — 1-0

Convert a 'SpatialLinesDataFrame' -Class Object to an 'igraph'-Class Object

shrink — 1.2.3

Global, Parameterwise and Joint Shrinkage Factor Estimation

ShrinkCovMat — 1.4.0

Shrinkage Covariance Matrix Estimators

shrinkDSM — 0.2.0

Efficient Bayesian Inference for Dynamic Survival Models with Shrinkage

shrinkTVP — 3.0.1

Efficient Bayesian Inference for Time-Varying Parameter Models with Shrinkage

shrinkTVPVAR — 0.1.1

Efficient Bayesian Inference for TVP-VAR-SV Models with Shrinkage

shroomDK — 0.3.0

Accessing the Flipside Crypto ShroomDK API

SHT — 0.1.8

Statistical Hypothesis Testing Toolbox

shuffle — 1.0.1

The Shuffle Estimator for Explainable Variance

shuffleCI — 0.1.0

Confidence Intervals Compared via Shuffling

shutterplot — 0.1.0

The R Shutter Plot Package

SI — 0.2.0

Stochastic Integrating

SIAmodules — 0.1.1

Modules for 'ShinyItemAnalysis'

SIAtools — 0.1.1

'ShinyItemAnalysis' Modules Development Toolkit

SIBER — 2.1.9

Stable Isotope Bayesian Ellipses in R

SIBERG — 2.0.3

Systematic Identification of Bimodally Expressed Genes Using RNAseq Data

sicegar — 0.2.4

Analysis of Single-Cell Viral Growth Curves

siconvr — 0.0.1

Fetch Data from Plataforma +Brasil (SICONV)

SID — 1.1

Structural Intervention Distance

SIDES — 1.18

Subgroup Identification Based on Differential Effect Search

sidier — 4.1.0

Substitution and Indel Distances to Infer Evolutionary Relationships

sidrar — 0.2.9

An Interface to IBGE's SIDRA API

Sie2nts — 0.1.0

Sieve Methods for Non-Stationary Time Series

siebanxicor — 1.0.0

Query Data Series from Bank of Mexico

SiER — 0.1.0

Signal Extraction Approach for Sparse Multivariate Response Regression

Sieve — 2.1

Nonparametric Estimation by the Method of Sieves

sievePH — 1.1

Sieve Analysis Methods for Proportional Hazards Models

sievetest — 1.2.3

Laboratory Sieve Test Reporting Functions

sift — 0.1.0

Intelligently Peruse Data

sig — 0.0-6

Print Function Signatures

sigclust — 1.1.0.1

Statistical Significance of Clustering

SightabilityModel — 1.5.5

Wildlife Sightability Modeling

sigInt — 0.2.0

Estimate the Parameters of a Discrete Crisis-Bargaining Game

sigmajs — 0.1.5

Interface to 'Sigma.js' Graph Visualization Library

sigminer — 2.3.1

Extract, Analyze and Visualize Mutational Signatures for Genomic Variations

sigmoid — 1.4.0

Sigmoid Functions for Machine Learning

SIGN — 0.1.0

Similarity Identification in Gene Expression

Signac — 1.14.0

Analysis of Single-Cell Chromatin Data

SignacX — 2.2.5

Cell Type Identification and Discovery from Single Cell Gene Expression Data

signal — 1.8-1

Signal Processing

signalHsmm — 1.5

Predict Presence of Signal Peptides

signatureSurvival — 1.0.0

Signature Survival Analysis

signed.backbones — 0.91.5

Extract the Signed Backbones of Weighted Networks

signibox — 1.0

Statistical Significance Marks on Boxplots

SignifReg — 4.3

Consistent Significance Controlled Variable Selection in Generalized Linear Regression

signnet — 1.0.4

Methods to Analyse Signed Networks

signs — 0.1.2

Insert Proper Minus Signs

SigOptR — 0.0.1

R API Wrapper for SigOpt

sigora — 3.1.1

Signature Overrepresentation Analysis

sigQC — 0.1.24

Quality Control Metrics for Gene Signatures

sigr — 1.1.5

Succinct and Correct Statistical Summaries for Reports

SigTree — 1.10.6

Identify and Visualize Significantly Responsive Branches in a Phylogenetic Tree

SIHR — 2.1.0

Statistical Inference in High Dimensional Regression

siie — 0.4.0

Superior Identification Index and Its Extensions

siland — 3.0.2

Spatial Influence of Landscape

SILFS — 0.1.0

Subgroup Identification with Latent Factor Structure

SILGGM — 1.0.0

Statistical Inference of Large-Scale Gaussian Graphical Model in Gene Networks

silicate — 0.7.1

Common Forms for Complex Hierarchical and Relational Data Structures

SillyPutty — 0.4.1

Silly Putty Clustering

SILM — 1.0.0

Simultaneous Inference for Linear Models

silp — 1.0.0

Conditional Process Analysis (CPA) via Structural Equation Modeling (SEM) Approach

sim.BA — 0.1.0

Simulation-Based Bias Analysis for Observational Studies

Sim.DiffProc — 4.9

Simulation of Diffusion Processes

Sim.PLFN — 1.0

Simulation of Piecewise Linear Fuzzy Numbers

sim1000G — 1.40

Genotype Simulations for Rare or Common Variants Using Haplotypes from 1000 Genomes

sim2Dpredictr — 0.1.1

Simulate Outcomes Using Spatially Dependent Design Matrices

simaerep — 0.5.0

Find Clinical Trial Sites Under-Reporting Adverse Events

SimBIID — 0.2.1

Simulation-Based Inference Methods for Infectious Disease Models

simboot — 0.2-8

Simultaneous Inference for Diversity Indices

simCAT — 1.0.1

Implements Computerized Adaptive Testing Simulations

simcausal — 0.5.6

Simulating Longitudinal Data with Causal Inference Applications

simcdm — 0.1.2

Simulate Cognitive Diagnostic Model ('CDM') Data

SimComp — 3.3

Simultaneous Comparisons for Multiple Endpoints

SimCop — 0.7.0

Simulate from Arbitrary Copulae

SimCorMultRes — 1.9.0

Simulates Correlated Multinomial Responses

SimCorrMix — 0.1.1

Simulation of Correlated Data with Multiple Variable Types Including Continuous and Count Mixture Distributions

simcross — 0.6

Simulate Experimental Crosses

simctest — 2.6

Safe Implementation of Monte Carlo Tests

simDAG — 0.2.0

Simulate Data from a DAG and Associated Node Information

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