All packages

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SLBDD — 0.0.4

Statistical Learning for Big Dependent Data

slca — 1.0.0

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 — 1.1.1

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 — 1.0.3

Semiparametric Likelihood Estimation with Errors in Variables

SLEMI — 1.0.2

Statistical Learning Based Estimation of Mutual Information

slendr — 0.9.1

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 — 0.3.1

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 — 2.1-6

Multidimensional Scaling

smacofx — 1.6-1

Flexible Multidimensional Scaling and 'smacof' Extensions

smacpod — 2.6

Statistical Methods for the Analysis of Case-Control Point Data

smallarea — 0.1

Fits a Fay Herriot Model

SmallCountRounding — 1.0.5

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

smbinning — 0.9

Scoring Modeling and Optimal Binning

SmCCNet — 2.0.3

Sparse Multiple Canonical Correlation Network Analysis Tool

smcfcs — 1.8.0

Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification

SMCRM — 0.0-3

Data Sets for Statistical Methods in Customer Relationship Management by Kumar and Petersen (2012).

smcryptoR — 0.1.2

ShangMi(SM) Cryptographic Algorithms(SM2/SM3/SM4)

smcure — 2.1

Fit Semiparametric Mixture Cure Models

smd — 0.7.0

Compute Standardized Mean Differences

smdata — 1.2

Data to Accompany Smithson & Merkle, 2013

smdi — 0.3.0

Perform Structural Missing Data Investigations

SMDIC — 0.1.5

Identification of Somatic Mutation-Driven Immune Cells

smdocker — 0.1.4

Build 'Docker Images' in 'Amazon SageMaker Studio' using 'Amazon Web Service CodeBuild'

smerc — 1.8.3

Statistical Methods for Regional Counts

smetlite — 0.2.10

Read and Write SMET Files

SMFilter — 1.0.3

Filtering Algorithms for the State Space Models on the Stiefel Manifold

smfishHmrf — 0.1

Hidden Markov Random Field for Spatial Transcriptomic Data

smfsb — 1.5

Stochastic Modelling for Systems Biology

smicd — 1.1.5

Statistical Methods for Interval-Censored Data

smidm — 1.0

Statistical Modelling for Infectious Disease Management

smile — 1.0.5

Spatial Misalignment: Interpolation, Linkage, and Estimation

smiles — 0.1-0

Sequential Method in Leading Evidence Synthesis

smirnov — 1.0-1

Provides two taxonomic coefficients from E. S. Smirnov "Taxonomic analysis" (1969) book

SmithWilsonYieldCurve — 1.1.1

Smith-Wilson Yield Curve Construction

SMITIDstruct — 0.0.5

Data Structure and Manipulations Tool for Host and Viral Population

SMITIDvisu — 0.0.9

Visualize Data for Host and Viral Population from 'SMITIDstruct' using 'HTMLwidgets'

SMLE — 2.1-1

Joint Feature Screening via Sparse MLE

smlePH — 0.1.0

Sieve Maximum Full Likelihood Estimation for the Right-Censored Proportional Hazards Model

smlmkalman — 0.1.1

Generation and Tracking of Super-Resolution Filamentous Datasets

SMLoutliers — 0.1

Outlier Detection Using Statistical and Machine Learning Methods

SMM — 1.0.2

Simulation and Estimation of Multi-State Discrete-Time Semi-Markov and Markov Models

SMMA — 1.0.3

Soft Maximin Estimation for Large Scale Array-Tensor Models

SMME — 1.1.1

Soft Maximin Estimation for Large Scale Heterogeneous Data

smmR — 1.0.3

Simulation, Estimation and Reliability of Semi-Markov Models

SMMT — 1.2.0

The Swiss Municipal Data Merger Tool Maps Municipalities Over Time

SMNCensReg — 3.1

Fitting Univariate Censored Regression Model Under the Family of Scale Mixture of Normal Distributions

smof — 1.2.0

Scoring Methodology for Ordered Factors

smoke — 2.0.1

Small Molecule Octet/BLI Kinetics Experiment

smoof — 1.6.0.3

Single and Multi-Objective Optimization Test Functions

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