All packages

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splitTools — 1.0.1

Tools for Data Splitting

splm — 1.6-5

Econometric Models for Spatial Panel Data

splmm — 1.2.0

Simultaneous Penalized Linear Mixed Effects Models

splot — 0.5.4

Simplified Plotting for Data Exploration

spls — 2.2-3

Sparse Partial Least Squares (SPLS) Regression and Classification

splus2R — 1.3-5

Supplemental S-PLUS Functionality in R

splusTimeDate — 2.5.8

Times and Dates from 'S-PLUS'

splusTimeSeries — 1.5.7

Time Series from 'S-PLUS'

splutil — 2022.6.20

Utility Functions for Common Base-R Problems Relating to Lists

spm — 1.2.2

Spatial Predictive Modeling

spm2 — 1.1.3

Spatial Predictive Modeling

spMaps — 0.5.0

Europe SpatialPolygonsDataFrame Builder

spMC — 0.3.15

Continuous-Lag Spatial Markov Chains

SPmlficmcm — 1.4

Semiparametric Maximum Likelihood Method for Interactions Gene-Environment in Case-Mother Control-Mother Designs

spmodel — 0.9.0

Spatial Statistical Modeling and Prediction

spmoran — 0.3.1

Fast Spatial and Spatio-Temporal Regression using Moran Eigenvectors

spnaf — 1.1.0

Spatial Network Autocorrelation for Flow Data

SpNMF — 0.1.1

Supervised NMF

spnn — 1.2.1

Scale Invariant Probabilistic Neural Networks

spNNGP — 1.0.1

Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes

spocc — 1.2.3

Interface to Species Occurrence Data Sources

spOccupancy — 0.7.6

Single-Species, Multi-Species, and Integrated Spatial Occupancy Models

spoiler — 1.0.0

Blur 'HTML' Elements in 'Shiny' Applications Using 'Spoiler-Alert.js'

spongebob — 0.4.0

SpongeBob-Case Converter : spOngEboB-CASe CoNVertER

spongecake — 0.1.2

Transform a Movie into a Synthetic Picture

spooky — 1.4.0

Time Feature Extrapolation Using Spectral Analysis and Jack-Knife Resampling

spork — 0.3.5

Generalized Label Formatting

sport — 0.2.1

Sequential Pairwise Online Rating Techniques

SPORTSCausal — 1.0

Spillover Time Series Causal Inference

SportsTour — 0.1.0

Display Tournament Fixtures using Knock Out and Round Robin Techniques

sportyR — 2.2.2

Plot Scaled 'ggplot' Representations of Sports Playing Surfaces

spotidy — 0.1.0

Providing Convenience Functions to Connect R with the Spotify API

spotifyr — 2.2.5

R Wrapper for the 'Spotify' Web API

spotoroo — 0.1.5

Spatiotemporal Clustering of Satellite Hot Spot Data

SPOUSE — 0.1.0

Scatter Plots Over-Viewed Using Summary Ellipses

SPPcomb — 0.1

Combining Different Spatial Datasets in Cancer Risk Estimation

SpPOP — 0.1.0

Generation of Spatial Population under Different Levels of Relationships among Variables

spray — 1.0-26

Sparse Arrays and Multivariate Polynomials

spreadr — 0.2.0

Simulating Spreading Activation in a Network

SPREDA — 1.1

Statistical Package for Reliability Data Analysis

SPreg — 1.0

Bias Reduction in the Skew-Probit Model for a Binary Response

spreval — 1.1.0

Evaluation of Sprinkler Irrigation Uniformity and Efficiency

sprex — 1.4.1

Calculate Species Richness and Extrapolation Metrics

springer — 0.1.9

Sparse Group Variable Selection for Gene-Environment Interactions in the Longitudinal Study

springpheno — 0.5.0

Spring Phenological Indices

spRingsteen — 0.1.0

All Things Data and Springsteen

sprintr — 0.9.0

Sparse Reluctant Interaction Modeling

sprtt — 0.2.0

Sequential Probability Ratio Tests Toolbox

sps — 0.5.4

Sequential Poisson Sampling

spsComps — 0.3.3.0

'systemPipeShiny' UI and Server Components

spselect — 0.0.1

Selecting Spatial Scale of Covariates in Regression Models

spsh — 1.1.0

Estimation and Prediction of Parameters of Various Soil Hydraulic Property Models

SPSL — 0.1-9

Site Percolation on Square Lattices (SPSL)

SPSP — 0.2.0

Selection by Partitioning the Solution Paths

spStack — 1.0.1

Bayesian Geostatistics Using Predictive Stacking

spsur — 1.0.2.5

Spatial Seemingly Unrelated Regression Models

spsurv — 1.0.0

Bernstein Polynomial Based Semiparametric Survival Analysis

spsurvey — 5.5.1

Spatial Sampling Design and Analysis

spsUtil — 0.2.2

'systemPipeShiny' Utility Functions

spTDyn — 2.0.3

Spatially Varying and Spatio-Temporal Dynamic Linear Models

SpTe2M — 1.0.3

Nonparametric Modeling and Monitoring of Spatio-Temporal Data

spThin — 0.2.0

Functions for Spatial Thinning of Species Occurrence Records for Use in Ecological Models

spTimer — 3.3.3

Spatio-Temporal Bayesian Modelling

sptotal — 1.0.1

Predicting Totals and Weighted Sums from Spatial Data

spup — 1.4-0

Spatial Uncertainty Propagation Analysis

spuRs — 2.0.2

Functions and Datasets for "Introduction to Scientific Programming and Simulation Using R"

SPUTNIK — 1.4.2

Spatially Automatic Denoising for Imaging Mass Spectrometry Toolkit

SPYvsSPY — 0.1.1

Spy vs. Spy Data

SQI — 0.1.0

Soil Quality Index

SQL — 0.1.1

Executes 'SQL' Statements

sqlcaser — 0.2.0

'SQL' Case Statement Generator

sqldf — 0.4-11

Manipulate R Data Frames Using SQL

sqlhelper — 0.2.1

Easier 'SQL' Integration

sqlHelpers — 0.1.2

Collection of 'SQL' Utilities for 'T-SQL' and 'Postgresql'

sqliter — 0.1.0

Connection wrapper to SQLite databases

sqliteutils — 0.1.0

Utility Functions for 'SQLite'

SQLove — 0.0.4

Execute 'SQL' Scripts in 'R' Containing Multiple Queries

sqlparseR — 0.1.0

Wrapper for 'Python' Module 'sqlparse': Parse, Split, and Format 'SQL'

SqlRender — 1.19.0

Rendering Parameterized SQL and Translation to Dialects

sqlscore — 0.1.4

Utilities for Generating SQL Queries from Model Objects

sqlstrings — 1.0.0

Map 'SQL' Code to R Lists

sqltargets — 0.2.1

'Targets' Extension for 'SQL' Queries

SQMtools — 1.6.3

Analyze Results Generated by the 'SqueezeMeta' Pipeline

SQN — 1.0.6

Subset Quantile Normalization

SQRL — 1.0.2

Enhances Interaction with 'ODBC' Databases

squant — 1.1.7

Subgroup Identification Based on Quantitative Objectives

SQUAREM — 2021.1

Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms

squash — 1.0.9

Color-Based Plots for Multivariate Visualization

squat — 0.3.0

Statistics for Quaternion Temporal Data

SqueakR — 1.3.0

An Experiment Interface for 'DeepSqueak' Bioacoustics Research

squeezy — 1.1-1

Group-Adaptive Elastic Net Penalised Generalised Linear Models

squid — 0.2.1

Statistical Quantification of Individual Differences

sr — 0.1.0

Smooth Regression - The Gamma Test and Tools

sra — 0.1.4.1

Selection Response Analysis

srcpkgs — 0.1

R Source Packages Manager

srcr — 1.1.1

Simplify Connections to Database Sources

SRCS — 1.1

Statistical Ranking Color Scheme for Multiple Pairwise Comparisons

sRDA — 1.0.0

Sparse Redundancy Analysis

sRdpData — 0.1.0

Strategies of Resistance Data Project

sreg — 1.0.0

Stratified Randomized Experiments

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