Showing entries 22601-22700 out of 54071.
Forensic Bayesian Networks
Rmetrics - Pricing and Evaluating Bonds
Analyzing and Managing Facebook Ads from R
Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves
The Full Bayesian Evidence Test, Full Bayesian Significance Test and the e-Value
Standard Evaluation-Based Multivariate Function Composition
Floating Catchment Area (FCA) Methods to Calculate Spatial Accessibility
Feldman-Cousins Confidence Intervals
Forced Choice in Item Response Theory
Inference of Fuzzy Cognitive Maps (FCMs)
Flexible Cutoffs for Model Fit Evaluation in Covariance-Based Structural Models
Rmetrics - Bivariate Dependence Structures with Copulae
Fundamental Clustering Problems Suite
Functional Concurrent Regression for Sparse Data
A Method to Search for Differentially Expressed Genes and to Detect Recurrent Chromosomal Copy Num…
A Collection of Fluorescence Fluctuation Spectroscopy Analysis Methods
Advanced Factor Manipulation Utilities
The Ultimate Helper for Clumsy Fingers
Estimation and Inference for the Fractionally Cointegrated VAR
Measuring Functional Diversity (FD) from Multiple Traits, and Other Tools for Functional Ecology
Autocorrelation Function for Functional Time Series
Joint Clustering and Alignment of Functional Data
Concurrent Regression and History Index Models for Functional Data
Functional Data Analysis for Density Functions by Transformation to a Hilbert Space
Functional Data Analysis in a Mixed Model Framework
Model-Based Clustering for Functional Data with Covariates
Analysis of Variance for Univariate and Multivariate Functional Data
Outlier Detection Tools for Functional Data Analysis
Functional Data Analysis and Empirical Dynamics
A Shiny App for the 'fdapace' Package
Partially Observed Integrated Functional Depth
Two-Dimensional FPCA, Marginal FPCA, and Product FPCA for Repeated Functional Data
Sparse Functional Data Analysis Methods
Elastic Functional Data Analysis
Interval Testing Procedure for Functional Data
Boosting Functional Regression Models
Fast Implementation of the Diffusion Decision Model
Optimal Experimental Designs for Functional/Dynamic Models
Data Mining and R Programming for Beginners
Dynamic Model Averaging and Dynamic Model Selection for Continuous Outcomes
Permutation-Based FDR Point and Confidence Interval Estimation
False Discovery Rate Procedures Under Discrete and Heterogeneous Null Distributions
Estimate, Plot, and Summarize False Discovery Rates
Computing Power and Sample Size for the False Discovery Rate in Multiple Applications
Compute Sample Size that Meets Requirements for Average Power and FDR
Estimation of (Local) False Discovery Rates and Higher Criticism
Frequency Distribution Tables, Histograms and Polygons
Application of Optimal Transport to Functional Data Analysis
False Discovery Exceedance Controlling Multiple Testing Procedures
Finite Element Modeling for R
Scores Features for Feature Selection
Feature Extraction and Statistics for Time Series
R Bindings to the Feather 'API'
Local Inferential Feature Significance for Multivariate Kernel Density Estimation
Measurement Level Independent Feature Correlation Matrix
Generating Features for a Cohort
Turn Features On and Off using Feature Flags
Creates a Model Matrix via Feature Hashing with a Formula Interface
Feature Importance for Partitional Clustering
Feature Extraction for Discretely-Sampled Functional Data
Feature Selection Engine to Remove Features with Minimal Predictive Power
