All packages

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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 — 2.2-2

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

SMNlmec — 1.0.0

Scale Mixture of Normal Distribution in Linear Mixed-Effects Model

smof — 1.2.2

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

smooth — 4.2.0

Forecasting Using State Space Models

smoothedLasso — 1.6

A Framework to Smooth L1 Penalized Regression Operators using Nesterov Smoothing

smoother — 1.3

Functions Relating to the Smoothing of Numerical Data

SmoothHazard — 2024.04.10

Estimation of Smooth Hazard Models for Interval-Censored Data

smoothHR — 1.0.5

Smooth Hazard Ratio Curves Taking a Reference Value

smoothic — 1.2.0

Variable Selection Using a Smooth Information Criterion

smoothie — 1.0-4

Two-Dimensional Field Smoothing

smoothmest — 0.1-3

Smoothed M-Estimators for 1-Dimensional Location

smoothr — 1.0.1

Smooth and Tidy Spatial Features

smoothROCtime — 0.1.0

Smooth Time-Dependent ROC Curve Estimation

smoothSurv — 2.6

Survival Regression with Smoothed Error Distribution

smoothtail — 2.0.6

Smooth Estimation of GPD Shape Parameter

SmoothTensor — 0.1.1

A Collection of Smooth Tensor Estimation Methods

smoothy — 1.0.0

Automatic Estimation of the Most Likely Drug Combination using Smooth Algorithm

smoots — 1.1.4

Nonparametric Estimation of the Trend and Its Derivatives in TS

smosr — 1.0.1

Acquire and Explore BEC-SMOS L4 Soil Moisture Data in R

smotefamily — 1.4.0

A Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE

SMOTEWB — 1.2.0

Imbalanced Resampling using SMOTE with Boosting (SMOTEWB)

smovie — 1.1.6

Some Movies to Illustrate Concepts in Statistics

smpic — 0.1.0

Creates Images Sized for Social Media

smplot2 — 0.2.5

Create Standalone and Composite Plots in 'ggplot2' for Publications

SMPracticals — 1.4-3.1

Practicals for Use with Davison (2003) Statistical Models

SMR — 2.1.0

Externally Studentized Midrange Distribution

sms — 2.3.1

Spatial Microsimulation

sMSROC — 0.1.2

Assessment of Diagnostic and Prognostic Markers

smss — 1.0-2

Datasets for Agresti and Finlay's "Statistical Methods for the Social Sciences"

sMTL — 0.1.0

Sparse Multi-Task Learning

smurf — 1.1.7

Sparse Multi-Type Regularized Feature Modeling

SMUT — 1.1

Multi-SNP Mediation Intersection-Union Test

SMVar — 1.3.4

Structural Model for Variances

smvgraph — 0.1.2

Various Multivariate Graphics with Variable Choice in Shiny Apps

sn — 2.1.1

The Skew-Normal and Related Distributions Such as the Skew-t and the SUN

sna — 2.8

Tools for Social Network Analysis

snahelper — 1.4.2

'RStudio' Addin for Network Analysis and Visualization

Snake — 1.0

Game of Snake

snakecase — 0.11.1

Convert Strings into any Case

SnakesAndLaddersAnalysis — 2.1.0

Play and Analyse the Game of Snakes and Ladders

snap — 1.1.0

Simple Neural Application

snapchatadsR — 0.1.0

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

snapKrig — 0.0.2

Fast Kriging and Geostatistics on Grids with Kronecker Covariance

snapshot — 0.1.2

Gadget N-body cosmological simulation code snapshot I/O utilities

snazzieR — 0.1.1

Chic and Sleek Functions for Beautiful Statisticians

SNBdata — 0.2.1

Download Data from the Swiss National Bank (SNB)

snem — 0.1.1

EM Algorithm for Multivariate Skew-Normal Distribution with Overparametrization

snfa — 0.0.1

Smooth Non-Parametric Frontier Analysis

SNFtool — 2.3.1

Similarity Network Fusion

snha — 0.1.3

Creating Correlation Networks using St. Nicolas House Analysis

snn — 1.1

Stabilized Nearest Neighbor Classifier

snotelr — 1.5.2

Calculate and Visualize 'SNOTEL' Snow Data and Seasonality

snow — 0.4-4

Simple Network of Workstations

SnowballC — 0.7.1

Snowball Stemmers Based on the C 'libstemmer' UTF-8 Library

snowboot — 1.0.2

Bootstrap Methods for Network Inference

SnowData — 1.0.0

Historical Data from John Snow's 1854 Cholera Outbreak Map

snowfall — 1.84-6.3

Easier Cluster Computing (Based on 'snow')

snowflakes — 1.0.0

Random Snowflake Generator

snowFT — 1.6-1

Fault Tolerant Simple Network of Workstations

snowquery — 1.2.1

Query 'Snowflake' Databases with 'SQL'

snpAIMeR — 2.1.1

Assess the Diagnostic Power of Genomic Marker Combinations

SNPannotator — 0.2.6.0

Investigating the Functional Characteristics of Selected SNPs and Their Vicinity Genomic Region

SNPassoc — 2.1-2

SNPs-Based Whole Genome Association Studies

SNPknock — 0.8.2

Knockoffs for Hidden Markov Models and Genetic Data

snplinkage — 1.2.0

Single Nucleotide Polymorphisms Linkage Disequilibrium Visualizations

snplist — 0.18.3

Tools to Create Gene Sets

sNPLS — 1.0.27

NPLS Regression with L1 Penalization

snpReady — 0.9.6

Preparing Genotypic Datasets in Order to Run Genomic Analysis

snpsettest — 0.1.2

A Set-Based Association Test using GWAS Summary Statistics

snQTL — 0.2

Spectral Network Quantitative Trait Loci (snQTL) Analysis

sns — 1.2.2

Stochastic Newton Sampler (SNS)

SNSchart — 1.4.0

Sequential Normal Scores in Statistical Process Management

SNSeg — 1.0.3

Self-Normalization(SN) Based Change-Point Estimation for Time Series

SNSequate — 1.3-5

Standard and Nonstandard Statistical Models and Methods for Test Equating

SNSFdatasets — 0.1.1

Download Datasets from the Swiss National Science Foundation (SNF, FNS, SNSF)

snSMART — 0.2.4

Small N Sequential Multiple Assignment Randomized Trial Methods

snvecR — 3.10.1

Calculate Earth’s Obliquity and Precession in the Past

SNVLFDR — 1.0.1

Empirical Bayes Single Nucleotide Variant Calling

SOAR — 0.99-11

Memory management in R by delayed assignments

SOAs — 1.4

Creation of Stratum Orthogonal Arrays

sobolnp — 0.1.0

Nonparametric Sobol Estimator with Bootstrap Bandwidth

SobolSequence — 1.0

Sobol Sequences with Better Two-Dimensional Projections

soc.ca — 0.8.0

Specific Correspondence Analysis for the Social Sciences

socceR — 0.1.1

Evaluating Sport Tournament Predictions

social — 1.0

Social Autocorrelation

socialh — 0.1.1

Rank and Social Hierarchy for Gregarious Animals

socialmixr — 0.4.0

Social Mixing Matrices for Infectious Disease Modelling

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