rPackages

Seed Germination and Seedling Growth Indexes

Seeded Canonical Correlation Analysis

Seeded Sequential LDA for Topic Modeling

Seed Imbibition Percentage

Generate a Collection of Seeds from a Single Seed

Find Matches to Canonical SiRNA Seeds in Genomic Features

Hydro and Thermal Time Seed Germination Models in R

Regression Analysis for Seed Germination as a Function of Temperature

Estimate Hidden Inputs using the Dynamic Elastic Net

Seed Vigor Index

Simplified Fetching and Processing of Microarray and RNA-Seq Data

Extract Matching Lines from Matching Files

Feature-Based Forecast Model Selection

SEER and Atomic Bomb Survivor Data Analysis Tools

Sound Analysis and Synthesis

Bivariate Segmentation/Clustering Methods and Tools

Detecting Correlated Genomic Regions

Sequence Generalization Through Similarity Network

Environmental Inequality Indices Based on Segregation Measures

Determine Event Boundaries in Event Segmentation Experiments

Regression Models with Break-Points / Change-Points Estimation (with Possibly Random Effects)

Similarity-Based Segmentation of Multidimensional Signals

Segment Data With Maximum Likelihood

Metrics for Assessing Segmentation Accuracy for Geospatial Data

Multiple Change-Point Detection for High-Dimensional GARCH Processes

Modeling Non-Continuous Linear Responses of Ecological Data

Entropy-Based Segregation Indices

Segregation Analysis for Variant Interpretation

Tests for Segregation Distortion in Polyploids

Sequence Globally Unique Identifier (SEGUID) Checksums

A Very Nice Interface to 'WordNet'

Calculating Standardised Indices

Modeling the Relationship Between Nematode Densities and Plant Growth

Extended Susceptible-Exposed-Infected-Recovery Model

Predict Information Cascade by Self-Exciting Point Process

Fast Rolling Functions for Seismology using 'Rcpp'

An Information About Deputies and Votings in Polish Diet from Seventh to Eighth Term of Office

KoNLP static dictionaries and Sejong project resources

Semiparametric Elicitation

Post-Selection Inference for Generalized Linear Models

Determines Species Probabilities Based on Functional Traits

Analysis of Field and Laboratory Foraging

A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets

Calculates Bounds for the Selection Bias for Binary Treatment and Outcome Variables

A Tool for Calculation and Optimization of the Expected Gain from Multi-Stage Selection

Tools for Post-Selection Inference

Estimation of Weight Functions in Meta Analysis

Translate CSS Selectors to XPath Expressions

Select Point Pattern Models Based on Minimum Contrast, AIC and Goodness of Fit

Selective Editing via Mixture Models

Concise, Lazy and Reliable Wrapper for 'chromote' and 'selenium'

Low-Level Browser Automation Interface

R Client Implementing the W3C WebDriver Specification

A Structural Equation Embedded Likelihood Framework for Causal Discovery

Genotype Probabilities in Intermediate Generations of Inbreeding Through Selfing

Construction of Selection Index

Structural Equation Models

Shared Memory Atomic Operations

A Data-Driven Similarity Kernel on Probability Spaces

Bootstrapping Helpers for Structural Equation Modelling

Structural Equation Modeling with Deep Neural Network and Machine Learning

'SEM Shiny'

Structural Equation Multidimensional Scaling

Automatic Calculation of Effects for Piecewise Structural Equation Models

Influential Cases in Structural Equation Modeling

Extracting Semantic Motifs from Textual Data

Network Analysis and Causal Inference Through Structural Equation Modeling

Helper Functions for Structural Equation Modeling

Generator of Semi-Artificial Data

Use Inverse Probability Weighting to Estimate Treatment Effect for Semi Competing Risks Data

Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data

Multivariate ANalysis of VAriance with Ridge Regularization for Semicontinuous High-Dimensional Da…

Identifiability of Linear Structural Equation Models

Measure Dependence Between Categorical and Continuous Variables

Solve Semi-Parametric Estimation by Implicit Profiling

Multi-States Semi-Markov Models

Building and Estimating Structural Equation Models

Semiparametic Regression