Showing entries 22801-22900 out of 55501.
Statistics of Extremes
Estimation of Extreme Value Dependence for Time Series Data
Spatial Dependencies and Indices for Extremes
Value Added in Exports and Other Input-Output Table Analysis Tools
Import ASC Files from EyeLink Eye Trackers
Import Gaze Data for EyeLink Eye Tracker
Analyse Eye Data
Eye-Tracking Data Analysis
Organising and Analysing Eye-Tracking Data
Fit Measure Cutoffs in SEM
Compute Neural Fragility for Ictal iEEG
Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines
FAB p-Values and Confidence Intervals
Change Point Detection in High-Dimensional Time Series Networks
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
Imagine Your Data Before You Collect It
Create Easily Canvas in 'shiny' and 'RMarkdown' Documents
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
Analyze Mathematical Models of Healthcare Facility Transmission
Cross-Section Factor Models
Time Series Factor Models for Asset Returns
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
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
Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models
Perform Factorial Analysis from 'FactoMineR' with a Shiny Application
Functional Data Clustering Using Adaptive Density Peak Detection