All packages

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sfheaders — 0.4.4

Converts Between R Objects and Simple Feature Objects

sfhotspot — 0.8.0

Hot-Spot Analysis with Simple Features

sfinx — 1.7.99

Straightforward Filtering Index for AP-MS Data Analysis (SFINX)

sfislands — 1.0.0

Streamlines the Process of Fitting Areal Spatial Models

sfnetworks — 0.6.4

Tidy Geospatial Networks

sfo — 0.1.2

San Francisco International Airport Monthly Air Passengers

SFPL — 1.0.0

Sparse Fused Plackett-Luce

SFS — 0.1.4

Similarity-First Search Seriation Algorithm

SFSI — 1.4.1

Sparse Family and Selection Index

sfsmisc — 1.1-19

Utilities from 'Seminar fuer Statistik' ETH Zurich

sft — 2.2-1

Functions for Systems Factorial Technology Analysis of Data

sftime — 0.3.0

Classes and Methods for Simple Feature Objects that Have a Time Column

SFtools — 0.1.0

Space Filling Based Tools for Data Mining

sftrack — 0.5.4

Modern Classes for Tracking and Movement Data

sg — 0.1.0

'SendGrid' Email API Client

sgapi — 1.0.2

Aid Querying 'nomis' and 'Office for National Statistics Open Geography' APIs

sgat — 0.9

Extract Information from Google's "Popular Times"

SGB — 1.0.1.1

Simplicial Generalized Beta Regression

sGBJ — 0.1.0

Survival Extension of the Generalized Berk-Jones Test

sgboost — 0.1.3

Sparse-Group Boosting

sgd — 1.1.2

Stochastic Gradient Descent for Scalable Estimation

SGDinference — 0.1.0

Inference with Stochastic Gradient Descent

sgee — 0.6-0

Stagewise Generalized Estimating Equations

sgeostat — 1.0-27

An Object-Oriented Framework for Geostatistical Modeling in S+

SGL — 1.3

Fit a GLM (or Cox Model) with a Combination of Lasso and Group Lasso Regularization

sglasso — 1.2.6

Lasso Method for RCON(V,E) Models

sglg — 0.2.2

Fitting Semi-Parametric Generalized log-Gamma Regression Models

sglr — 0.8

Sequential Generalized Likelihood Ratio Decision Boundaries Proposed by Shih, Lai, Heyse and Chen (2010, <doi:10.1002/Sim.4036>)

sgmodel — 0.1.2

Solves a Generic Stochastic Growth Model with a Representative Agent

sGMRFmix — 0.3.0

Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection

sgo — 0.9.2

Simple Geographical Operations (with OSGB36)

sgof — 2.3.5

Multiple Hypothesis Testing

sgolay — 1.0.3

Efficient Savitzky-Golay Filtering

SGP — 2.1-0.0

Student Growth Percentiles & Percentile Growth Trajectories

SGPdata — 28.0-0.0

Exemplar Data Sets for Student Growth Percentiles (SGP) Analyses

sgPLS — 1.8

Sparse Group Partial Least Square Methods

SGPR — 0.1.2

Sparse Group Penalized Regression for Bi-Level Variable Selection

sgpv — 1.1.0

Calculate Second-Generation p-Values and Associated Measures

sgr — 1.3.1

Sample Generation by Replacement

sgraph — 1.1.0

Network Visualization Using 'sigma.js'

sgs — 0.3.0

Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control

sgsR — 1.4.5

Structurally Guided Sampling

sgstar — 0.1.2

Seasonal Generalized Space Time Autoregressive (S-GSTAR) Model

sgt — 2.0

Skewed Generalized T Distribution Tree

shades — 1.4.0

Simple Colour Manipulation

shadowr — 0.0.2

Selenium Plugin to Manage Multi Level Shadow Elements on Web Page

shadowtext — 0.1.4

Shadow Text Grob and Layer

shannon — 0.2.0

Computation of Entropy Measures and Relative Loss

ShapDoE — 1.0.0

Approximation of the Shapley Values Based on Experimental Designs

shape — 1.4.6.1

Functions for Plotting Graphical Shapes, Colors

ShapeChange — 1.5

Change-Point Estimation using Shape-Restricted Splines

shapefiles — 0.7.2

Read and Write ESRI Shapefiles

shapeNA — 0.0.2

M-Estimation of Shape for Data with Missing Values

ShapePattern — 3.0.1

Tools for Analyzing Shapes and Patterns

shapeR — 1.0-1

Collection and Analysis of Otolith Shape Data

shapes — 1.2.7

Statistical Shape Analysis

ShapeSelectForest — 1.7

Shape Selection for Landsat Time Series of Forest Dynamics

SHAPforxgboost — 0.1.3

SHAP Plots for 'XGBoost'

shapley — 0.3

Weighted Mean SHAP for Feature Selection in ML Grid and Ensemble

ShapleyOutlier — 0.1.1

Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances

ShapleyValue — 0.2.0

Shapley Value Regression for Relative Importance of Attributes

shapper — 0.1.3

Wrapper of Python Library 'shap'

shapr — 0.2.2

Prediction Explanation with Dependence-Aware Shapley Values

shapviz — 0.9.5

SHAP Visualizations

shar — 2.3

Species-Habitat Associations

SharkDemography — 1.1.0

Shark Demographic Analyses Using Leslie Matrix Models

sharp — 1.4.6

Stability-enHanced Approaches using Resampling Procedures

sharpData — 1.4

Data Sharpening

SharpeR — 1.3.0

Statistical Significance of the Sharpe Ratio

sharpeRratio — 1.4.3

Moment-Free Estimation of Sharpe Ratios

sharpPen — 1.9

Penalized Data Sharpening for Local Polynomial Regression

sharpr2 — 1.1.1.0

Estimating Regulatory Scores and Identifying ATAC-STARR Data

sharpshootR — 2.3.1

A Soil Survey Toolkit

sharx — 1.0-6

Models and Data Sets for the Study of Species-Area Relationships

shattering — 1.0.7

Estimate the Shattering Coefficient for a Particular Dataset

shazam — 1.2.0

Immunoglobulin Somatic Hypermutation Analysis

SheetReader — 1.2.1

Parse xlsx Files

SHELF — 1.11.0

Tools to Support the Sheffield Elicitation Framework

ShellChron — 0.4.0

Builds Chronologies from Oxygen Isotope Profiles in Shells

shelltrace — 3.5.1

Bivalve Growth and Trace Element Accumulation Model

sherlock — 0.7.0

Graphical Displays for Structured Problem Solving and Diagnosis

SherlockHolmes — 1.0.1

Building a Concordance of Terms in a Series of Texts

shidashi — 0.1.6

A Shiny Dashboard Template System

shide — 0.2.1

Date/Time Classes Based on Jalali Calendar

ShiftConvolvePoibin — 1.0.0

Exactly Computing the Tail of the Poisson-Binomial Distribution

shiftR — 1.5

Fast Enrichment Analysis via Circular Permutations

ShiftShareSE — 1.1.0

Inference in Regressions with Shift-Share Structure

shinipsum — 0.1.1

Lorem-Ipsum-Like Helpers for Fast Shiny Prototyping

shiny — 1.9.1

Web Application Framework for R

shiny.benchmark — 0.1.1

Benchmark the Performance of 'shiny' Applications

shiny.blueprint — 0.3.0

Palantir's 'Blueprint' for 'Shiny' Apps

shiny.destroy — 0.1.0

Create Destroyable Modules in 'Shiny'

shiny.emptystate — 0.1.0

Empty State Components for 'Shiny'

shiny.exe — 0.2.0

Launch a Shiny Application without Opening R or RStudio

shiny.fluent — 0.4.0

Microsoft Fluent UI for Shiny Apps

shiny.i18n — 0.3.0

Shiny Applications Internationalization

shiny.info — 0.2.0

'shiny' Info

shiny.pwa — 0.2.1

Progressive Web App Support for Shiny

shiny.react — 0.4.0

Tools for Using React in Shiny

shiny.reglog — 0.5.2

Optional Login and Registration Module System for ShinyApps

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