R: Robust Estimators for Multi-Group and Spatial Data

# Robust Estimators for Multi-Group and Spatial Data

## Documentation for package ‘ssMRCD’ version 2.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

align | Align Loadings of Principal Components
biplot.msPCA | Biplot Visualization for msPCA Objects
cellMGGMM | Calculation of the cellwise robust multi-group Gaussian mixture model
geo_weights | Inverse Geographic Weight Matrix
groups_gridbased | Creates Grid-Based Neighborhood Structure
locOuts | Local Outlier Detection using Spatially Smoothed MRCD
msPCA | Compute Sparse Multi-Source Principal Components
plot.locOuts | Diagnostic Plots for Local Outlier Detection ('locOuts')
plot.msPCA | Plot Method for msPCA Objects
plot.ssMRCD | Plot Method for ssMRCD Object
residuals.ssMRCD | Residual Method from an ssMRCD Object
residuals_mggmm | Calculation of Residuals for the Multi-Group GMM
scale.ssMRCD | Locally Center and/or Scale or Data Using an ssMRCD Object
scores | Calculate Scores and Distances for Multi-Source PCA
screeplot.msPCA | Scree Plot and Cumulative Explained Variance for msPCA Objects
ssMRCD | Spatially Smoothed MRCD Estimator
summary.msPCA | Summary Method for msPCA Objects
time_weights | Band weight matrix for time series groupings
weatherAUT2021 | Austrian Weather Data 2021
weatherHoheWarte | Vienna Weather Time Series (1960-2023)