All packages

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stortingscrape — 0.4.1

Access Data from the Norwegian Parliament API

stoRy — 0.2.2

Download, Explore, and Analyze Literary Theme Ontology Data

storywranglr — 0.2.0

Explore Twitter Trends with the 'Storywrangler' API

stosim — 0.0.15

Stochastic Simulator for Reliability Modeling of Repairable Systems

STPGA — 5.2.1

Selection of Training Populations by Genetic Algorithm

stplanr — 1.2.3

Sustainable Transport Planning

stpm — 1.7.12

Stochastic Process Model for Analysis of Longitudinal and Time-to-Event Outcomes

stpp — 2.0-8

Space-Time Point Pattern Simulation, Visualisation and Analysis

stpphawkes — 0.2.2

Missing Data for Marked Hawkes Process

stppSim — 1.3.4

Spatiotemporal Point Patterns Simulation

stR — 0.7

Seasonal Trend Decomposition Using Regression

str2str — 1.0.0

Convert R Objects from One Structure to Another

StrainRanking — 1.2

Ranking of Pathogen Strains

strand — 0.2.0

A Framework for Investment Strategy Simulation

stranslate — 0.1.3

Simple Translation Between Different Languages

strap — 1.6-1

Stratigraphic Tree Analysis for Palaeontology

strat — 0.1

An Implementation of the Stratification Index

strata — 1.4.5

Simple Framework for Simple Automation

strata.MaxCombo — 0.0.1

Stratified Max-Combo Test

stratallo — 2.2.1

Optimum Sample Allocation in Stratified Sampling

stratamatch — 0.1.9

Stratification and Matching for Large Observational Data Sets

stratastats — 0.2

Stratified Analysis of 2x2 Contingency Tables

stratbr — 1.2

Optimal Stratification in Stratified Sampling

strategicplayers — 1.1

Strategic Players

Strategy — 1.0.1

Generic Framework to Analyze Trading Strategies

stratEst — 1.1.7

Strategy Estimation

StrathE2E2 — 3.3.0

End-to-End Marine Food Web Model

stratification — 2.2-7

Univariate Stratification of Survey Populations

StratifiedBalancing — 0.3.0

Stratified Covariate Balancing

StratifiedMedicine — 1.0.5

Stratified Medicine

StratifiedRF — 0.2.2

Builds Trees by Sampling Variables in Groups

StratifiedSampling — 0.4.2

Different Methods for Stratified Sampling

stratifiedyh — 0.1.0

Stratified Sampling and Labeling of Data in R

stratifyR — 1.0-4

Optimal Stratification of Univariate Populations

StratigrapheR — 1.3.1

Integrated Stratigraphy

StratPal — 0.4.0

Stratigraphic Paleobiology Modeling Pipelines

StratSel — 1.4

Strategic Selection Estimator

STraTUS — 1.1.2

Enumeration and Uniform Sampling of Transmission Trees for a Known Phylogeny

straweib — 1.1

Stratified Weibull Regression Model

strawr — 0.0.92

Fast Implementation of Reading/Dump for .hic Files

stray — 0.1.1

Anomaly Detection in High Dimensional and Temporal Data

STREAK — 1.0.0

Receptor Abundance Estimation using Feature Selection and Gene Set Scoring

stream — 2.0-3

Infrastructure for Data Stream Mining

streambugs — 1.4

Parametric Ordinary Differential Equations Model of Growth, Death, and Respiration of Macroinvertebrate and Algae Taxa

streamDAG — 1.5-9

Analytical Methods for Stream DAGs

streamDepletr — 0.2.0

Estimate Streamflow Depletion Due to Groundwater Pumping

StreamMetabolism — 1.1.3

Calculate Single Station Metabolism from Diurnal Oxygen Curves

streamMOA — 1.3-1

Interface for MOA Stream Clustering Algorithms

streamR — 0.4.5

Access to Twitter Streaming API via R

streamy — 0.1.0

Inline Asynchronous Generator Results into Documents

streetscape — 1.0.5

Collect and Investigate Street Views for Urban Science

StReg — 1.1

Student's t Regression Models

stressaddition — 3.1.0

Modelling Tri-Phasic Concentration-Response Relationships

stressor — 0.2.0

Algorithms for Testing Models under Stress

stressr — 1.0.0

Fetch and plot financial stress index and component data.

StressStrength — 1.0.2

Computation and Estimation of Reliability of Stress-Strength Models

strex — 2.0.1

Extra String Manipulation Functions

strider — 1.3

Strided Iterator and Range

String2AdjMatrix — 0.1.0

Creates an Adjacency Matrix from a List of Strings

string2path — 0.2.2

Rendering Font into 'data.frame'

stringdist — 0.9.15

Approximate String Matching, Fuzzy Text Search, and String Distance Functions

stringfish — 0.16.0

Alt String Implementation

stringformattr — 0.1.2

Dynamic String Formatting

stringi — 1.8.7

Fast and Portable Character String Processing Facilities

stringmagic — 1.2.0

Character String Operations and Interpolation, Magic Edition

stringr — 1.5.1

Simple, Consistent Wrappers for Common String Operations

stringstatic — 0.1.2

Dependency-Free String Operations

stringx — 0.2.9

Replacements for Base String Functions Powered by 'stringi'

strip — 1.0.0

Lighten your R Model Outputs

stripless — 1.0-3

Structured Trellis Displays Without Strips for Lattice Graphics

striprtf — 0.6.0

Extract Text from RTF File

stRoke — 24.10.1

Clinical Stroke Research

StroupGLMM — 0.3.0

R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup

strs — 0.1.0

'Python' Style String Functions

strucchange — 1.5-4

Testing, Monitoring, and Dating Structural Changes

strucchangeRcpp — 1.5-4-1.0.0

Testing, Monitoring, and Dating Structural Changes: C++ Version

structree — 1.1.7

Tree-Structured Clustering

StructuralDecompose — 0.1.1

Decomposes a Level Shifted Time Series

StructureMC — 1.0

Structured Matrix Completion

strvalidator — 2.4.1

Process Control and Validation of Forensic STR Kits

sts — 1.4

Estimation of the Structural Topic and Sentiment-Discourse Model for Text Analysis

sTSD — 0.2.0

Simulate Time Series Diagnostics

stuart — 0.10.2

Subtests Using Algorithmic Rummaging Techniques

studentlife — 1.1.0

Tidy Handling and Navigation of the Student-Life Dataset

studyStrap — 1.0.0

Study Strap and Multi-Study Learning Algorithms

StuteTest — 1.0.2

Stute (1997) Linearity Test

STV — 1.0.2

Single Transferable Vote Counting

stxplore — 0.1.0

Exploration of Spatio-Temporal Data

styler — 1.10.3

Non-Invasive Pretty Printing of R Code

stylest2 — 0.1

Estimating Speakers of Texts

stylo — 0.7.5

Stylometric Multivariate Analyses

subcopem2D — 1.3

Bivariate Empirical Subcopula

subdetect — 1.3

Detect Subgroup with an Enhanced Treatment Effect

subformula — 0.1.0

Create Subformulas of a Formula

subgroup — 1.1

Methods for exploring treatment effect heterogeneity in subgroup analysis of clinical trials

SubgrpID — 0.12

Patient Subgroup Identification for Clinical Drug Development

subgxe — 0.9.0

Combine Multiple GWAS by Using Gene-Environment Interactions

subincomeR — 0.3.0

Access to Global Sub-National Income Data

submax — 1.1.5

Effect Modification in Observational Studies Using the Submax Method

SubpathwayLNCE — 1.0

Identify Signal Subpathways Competitively Regulated by LncRNAs Based on ceRNA Theory

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