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Showing entries 23501-23600 out of 57642.
Eye-Tracking Data Analysis
Organising and Analysing Eye-Tracking Data
r-ezNix package
Easy Analysis and Visualization of Factorial Experiments
Analyze and Integrate Any Type of Nucleotide Recoding RNA-Seq Data
r-ezcoxNix package
Easily Process a Batch of Cox Models
Fit Measure Cutoffs in SEM
r-ezecNix package
Easy Interface to Effective Concentration Calculations
r-ezECMNix package
Event Categorization Matrix Classification for Nuclear Detonations
r-ezEDANix package
Task Oriented Interface for Exploratory Data Analysis
Compute Neural Fragility for Ictal iEEG
r-ezglmNix package
r-EzGPNix package
Easy-to-Interpret Gaussian Process Models for Computer Experiments
Avoid the Typical Working Directory Pain
Easy Michaelis-Menten Enzyme Kinetics
Functions for Common Chart Types
r-ezrNix package
Easy Use of R via Shiny App for Basic Analyses of Experimental Data
r-ezsimNix package
Exploring Animal Movement Data
Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines
Access Formula 1 Data
r-FaaSrNix package
FaaS (Function as a Service) Package
r-fabCINix package
FAB Confidence Intervals
r-fabiaNix package
FAB p-Values and Confidence Intervals
Change Point Detection in High-Dimensional Time Series Networks
r-fableNix package
Forecasting Models for Tidy Time Series
INGARCH and GLARMA Models for Count Time Series in Fable Framework
Core Tools for Packages in the 'fable' Framework
Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number …
Compute FAB (Frequentist and Bayes) Conformal Prediction Intervals
r-fabRNix package
Wrapper Functions Collection Used in Data Pipelines
Imagine Your Data Before You Collect It
Create Easily Canvas in 'shiny' and 'RMarkdown' Documents
Query Data in 'Microsoft Fabric'
r-faceNix package
Fast Covariance Estimation for Sparse Functional Data
Access to Facebook Ads via the 'Windsor.ai' API
Get Facebook Leads Ads Data via the 'Windsor.ai' API
Get Data from 'Facebook Organic' via the 'Windsor.ai' API
An Interface for Face Recognition
Analyze Mathematical Models of Healthcare Facility Transmission
Cross-Section Factor Models
Time Series Factor Models for Asset Returns
r-FACTNix package
Feature Attributions for ClusTering
Characterization and Diagnostic Tools for Factorial Block Designs
Efficiencies of Block Designs for Factorial and Fractional Factorial Experiments
Instrumental Variables Estimation for 2^k Factorial Experiments
Maximum Likelihood Factor Analysis
Combination of Factorial Methods and Cluster Analysis
Extract and Visualize the Results of Multivariate Data Analyses
Automatic Description of Factorial Analysis
Multivariate Exploratory Data Analysis and Data Mining
Factorial Optimal Designs for Two-Colour cDNA Microarray Experiments
Use Raw Vectors to Minimize Memory Consumption of Factors
Set of Assumptions for Factor and Principal Component Analysis
Factor, Bi-Factor, Second-Order and Factor Tree Copula Models
Factor Copula Models
Design and Analysis for Factorial Experiments
Multifactor Nonparametric Rank-Based ANOVA with Post Hoc Tests
Estimate Heterogeneous Effects in Factorial Experiments Using Grouping and Sparsity
Design and Analysis of a 2x2 Factorial Trial
Factor Model Estimation Using Proxy Variables
Presenting Pairwise Comparisons
Build Function Factories
Perform Factorial Analysis from 'FactoMineR' with a Shiny Application
r-factRNix package
Factor-Augmented Clustering Tree
Multi-Environment Genomic Prediction with Penalized Factorial Regression
r-fadNix package
Factor Analysis for Data
r-FADANix package
Variable Selection for Supervised Classification in High Dimension
Distributions that are Sometimes Used in Hydrology
Functional Data Clustering Using Adaptive Density Peak Detection
r-faersNix package
FDA Adverse Event Reporting System Quarterly Data Extracting Tool
r-FAfANix package
Factor Analysis for All
Data from the Book "Multivariate Statistical Modelling Based on Generalized Linear Models", First …
r-failNix package
File Abstraction Interface Layer (FAIL)
Fair Data Adaptation with Quantile Preservation