All packages

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sjPlot — 2.8.16

Data Visualization for Statistics in Social Science

sjSDM — 1.0.6

Scalable Joint Species Distribution Modeling

sjstats — 0.19.0

Collection of Convenient Functions for Common Statistical Computations

sjtable2df — 0.0.3

Convert 'sjPlot' HTML-Tables to R 'data.frame'

SK4FGA — 0.1.1

Scott-Knott for Forensic Glass Analysis

SKAT — 2.2.5

SNP-Set (Sequence) Kernel Association Test

skater — 0.1.2

Utilities for SNP-Based Kinship Analysis

skedastic — 2.0.2

Handling Heteroskedasticity in the Linear Regression Model

skeletor — 1.0.4

An R Package Skeleton Generator

skellam — 0.2.3

Densities and Sampling for the Skellam Distribution

sketch — 1.1.20.3

Interactive Sketches

sketcher — 0.1.3

Pencil Sketch Effect

sketching — 0.1.2

Sketching of Data via Random Subspace Embeddings

sketchy — 1.0.4

Create Custom Research Compendiums

SkewHyperbolic — 0.4-2

The Skew Hyperbolic Student t-Distribution

skewlmm — 1.1.0

Scale Mixture of Skew-Normal Linear Mixed Models

skewMLRM — 1.6

Estimation for Scale-Shape Mixtures of Skew-Normal Distributions

skewsamp — 1.0.0

Estimate Sample Sizes for Group Comparisons with Skewed Distributions

skewt — 1.0

The Skewed Student-t Distribution

SKFCPD — 0.2.4

Fast Online Changepoint Detection for Temporally Correlated Data

Skillings.Mack — 1.10

The Skillings-Mack Test Statistic for Block Designs with Missing Observations

skilljaR — 0.1.2

Connect to Your 'Skilljar' Data

skimr — 2.1.5

Compact and Flexible Summaries of Data

skipTrack — 0.1.0

A Bayesian Hierarchical Model that Controls for Non-Adherence in Mobile Menstrual Cycle Tracking

sklarsomega — 3.0-2

Measuring Agreement Using Sklar's Omega Coefficient

skm — 0.1.5.4

Selective k-Means

skmeans — 0.2-18

Spherical k-Means Clustering

SKNN — 4.1

A Super K-Nearest Neighbor (SKNN) Classification Algorithm

skpr — 1.7.1

Design of Experiments Suite: Generate and Evaluate Optimal Designs

skylight — 1.2

A Simple Sky Illuminance Model

skyscapeR — 1.0.0

Data Analysis and Visualization for Skyscape Archaeology

slackr — 3.3.1

Send Messages, Images, R Objects and Files to 'Slack' Channels/Users

slam — 0.1-55

Sparse Lightweight Arrays and Matrices

slanter — 0.2-0

Slanted Matrices and Ordered Clustering

slap — 2024.4.1

Simplified Error Handling

SlaPMEG — 1.0.2

Pathway Testing for Longitudinal Omics

slasso — 1.0.0

S-LASSO Estimator for the Function-on-Function Linear Regression

SLBDD — 0.0.4

Statistical Learning for Big Dependent Data

slca — 1.2.0

Structural Modeling for Multiple Latent Class Variables

SLCARE — 1.2.0

Semiparametric Latent Class Analysis of Recurrent Events

slcm — 0.1.0

Sparse Latent Class Model for Cognitive Diagnosis

sld — 1.0.1

Estimation and Use of the Quantile-Based Skew Logistic Distribution

SLDAssay — 1.8

Software for Analyzing Limiting Dilution Assays

sleekts — 1.0.2

4253H, Twice Smoothing

SleepCycles — 1.1.4

Sleep Cycle Detection

sleeperapi — 1.1.2

Wrapper Functions Around 'Sleeper' (Fantasy Sports) API

sleepr — 0.3.0

Analyse Activity and Sleep Behaviour

sleepwalk — 0.3.2

Interactively Explore Dimension-Reduced Embeddings

sleev — 1.0.5

Semiparametric Likelihood Estimation with Errors in Variables

SLEMI — 1.0.2

Statistical Learning Based Estimation of Mutual Information

slendr — 1.0.0

A Simulation Framework for Spatiotemporal Population Genetics

Sleuth2 — 2.0-7

Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd Ed)"

Sleuth3 — 1.0-6

Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd Ed)"

slfm — 1.0.2

Fitting a Bayesian Sparse Latent Factor Model in Gene Expression Analysis

SLFPCA — 3.0

Sparse Logistic Functional Principal Component Analysis

slgf — 2.0.0

Bayesian Model Selection with Suspected Latent Grouping Factors

SLHD — 2.1-1

Maximin-Distance (Sliced) Latin Hypercube Designs

SlicedLHD — 1.0

Sliced Latin Hypercube Designs

slickR — 0.6.0

Create Interactive Carousels with the 'JavaScript' 'Slick' Library

SLIDE — 1.0.0

Single Cell Linkage by Distance Estimation is SLIDE

slider — 0.3.2

Sliding Window Functions

slideview — 0.2.0

Compare Raster Images Side by Side with a Slider

SlidingWindows — 0.2.0

Methods for Time Series Analysis

slim — 0.1.1

Singular Linear Models for Longitudinal Data

slimrec — 0.1.0

Sparse Linear Method to Predict Ratings and Top-N Recommendations

slippymath — 0.3.1

Slippy Map Tile Tools

slm — 1.2.0

Stationary Linear Models

SLModels — 0.1.2

Stepwise Linear Models for Binary Classification Problems under Youden Index Optimisation

sloop — 1.0.1

Helpers for 'OOP' in R

SLOPE — 0.5.1

Sorted L1 Penalized Estimation

slouch — 2.1.5

Stochastic Linear Ornstein-Uhlenbeck Comparative Hypotheses

slowraker — 0.1.1

A Slow Version of the Rapid Automatic Keyword Extraction (RAKE) Algorithm

slp — 1.0-5

Discrete Prolate Spheroidal (Slepian) Sequence Regression Smoothers

SLPresElection — 1.0.0

Presidential Election Data of "Sri Lanka" from 1982 to 2015

slr — 1.3.0

Semi-Latin Rectangles

SLSEdesign — 0.0.3

Optimal Regression Design under the Second-Order Least Squares Estimator

SLTCA — 0.1.0

Scalable and Robust Latent Trajectory Class Analysis

slurmR — 0.5-4

A Lightweight Wrapper for 'Slurm'

sm — 2.2-6.0

Smoothing Methods for Nonparametric Regression and Density Estimation

smaa — 0.3-3

Stochastic Multi-Criteria Acceptability Analysis

smacof — 2.1-7

Multidimensional Scaling

smacofx — 1.6-1

Flexible Multidimensional Scaling and 'smacof' Extensions

smacpod — 2.6.4

Statistical Methods for the Analysis of Case-Control Point Data

smallarea — 0.1

Fits a Fay Herriot Model

SmallCountRounding — 1.0.8

Small Count Rounding of Tabular Data

smallsets — 2.0.0

Visual Documentation for Data Preprocessing

smallstuff — 1.0.3

Dr. Small's Functions

smam — 0.7.2

Statistical Modeling of Animal Movements

SMARTbayesR — 2.0.0

Bayesian Set of Best Dynamic Treatment Regimes and Sample Size in SMARTs for Binary Outcomes

smartDesign — 0.74

Sequential Multiple Assignment Randomized Trial Design

SmartEDA — 0.3.10

Summarize and Explore the Data

SmarterPoland — 1.8.1

Tools for Accessing Various Datasets Developed by the Foundation SmarterPoland.pl

smartmap — 0.1.1

Smartly Create Maps from R Objects

SmartMeterAnalytics — 1.0.3

Methods for Smart Meter Data Analysis

SMARTp — 0.1.1

Sample Size for SMART Designs in Non-Surgical Periodontal Trials

smartsheetr — 0.1.0

Access and Write 'Smartsheet' Data using the 'Smartsheet' API 2.0

smartsizer — 1.0.3

Power Analysis for a SMART Design

smartsnp — 1.1.0

Fast Multivariate Analyses of Big Genomic Data

SmartSVA — 0.1.3

Fast and Robust Surrogate Variable Analysis

smatr — 3.4-8

(Standardised) Major Axis Estimation and Testing Routines

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