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fdars 0.4.0

Reference
- Getting Started
- Introduction to fdars
- Custom Plotting with ggplot2
- Preprocessing
- Introduction to Smoothing
- Working with Derivatives
- Data
- Simulation Toolbox
- Irregular Sampling
- Decomposition
- Functional PCA (FPCA)
- Basis Representation
- Transformation
- Andrews Curves
- Ranking & Centrality
- Depth Functions
- Streaming Depth
- Proximity
- Distance Metrics
- Methods
- Elastic Alignment
- Landmark Registration
- TSRVF (Tangent Space)
- Guides
- Comparing Alignment Methods
- Inference
- Tolerance Bands
- Equivalence Testing
- Unsupervised
- Clustering
- Outlier Detection
- Supervised
- Regression
- Time Series
- Seasonal Analysis
- Covariance Functions

Compute the PCvM statistic

Source: R/extendr-wrappers.R

pcvm_statistic.Rd

Compute the PCvM statistic

Usage

pcvm_statistic(adot_vec, residuals)

Developed by Simon Müller.

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