R: Sequential Outlier Identification for Model-Based Clustering

# Sequential Outlier Identification for Model-Based Clustering

## Documentation for package ‘outlierMBC’ version 0.0.1

- DESCRIPTION file
- Package README

## Help Pages

backtrack | Move backwards from the minimum to a more conservative solution.
backtrack_gmm | Fit a Gaussian mixture model to the backtrack solution.
backtrack_lcwm | Fit a linear cluster-weighted model to the backtrack solution.
distrib_diff_gmm | Compute the dissimilarity for a Gaussian mixture model and identify the lowest density observation.
distrib_diff_lcwm | Compute the dissimilarity for a linear cluster-weighted model and identify the lowest density observation.
distrib_diff_lcwm_g | Compute the dissimilarity for a single component of a Linear CWM.
distrib_diff_mahalanobis | Compute the dissimilarity for a single multivariate Gaussian distribution.
distrib_diff_residual | Compute the response dissimilarity for a single component of a Linear CWM.
find_gross | Find gross outliers.
get_init_z | Obtain an initial clustering as a component assignment matrix.
gmm_k3n1000o10 | Simulated data set consisting of 1000 observations from 3 Gaussian components and 10 outliers.
gmm_k3n2000o20 | Simulated data set consisting of 2000 observations from 3 Gaussian components and 20 outliers.
gmm_k3n4000o40 | Simulated data set consisting of 4000 observations from 3 Gaussian components and 40 outliers.
lcwm_k3n1000o10 | Simulated data set consisting of 1000 observations from 3 Gaussian components and 10 outliers.
lcwm_k3n2000o20 | Simulated data set consisting of 2000 observations from 3 Gaussian components and 20 outliers.
lcwm_k3n4000o40 | Simulated data set consisting of 4000 observations from 3 Gaussian components and 40 outliers.
new_outliermbc_gmm | Constructor for '"outliermbc_gmm"' S3 class.
new_outliermbc_lcwm | Constructor for "outliermbc_lcwm" S3 object.
ombc_gmm | Sequentially identify outliers while fitting a Gaussian mixture model.
ombc_lcwm | Sequentially identify outliers while fitting a linear cluster-weighted model.
plot.outliermbc_gmm | plot method for '"outliermbc_gmm"' S3 class.
plot.outliermbc_lcwm | plot method for '"outliermbc_lcwm"' S3 class.
plot_backtrack | Plot the dissimilarity curve showing the backtrack solution.
plot_comparison | Plot multiple dissimilarity curves.
plot_comparison_bic | Plot multiple dissimilarity curves.
plot_curve | Plot the dissimilarity curve.
plot_selection | Plot dissimilarity values for multiple solutions.
print.outliermbc_gmm | print method for '"outliermbc_gmm"' S3 class.
print.outliermbc_lcwm | print method for '"outliermbc_lcwm"' S3 class.
simulate_gmm | Simulate data from a Gaussian mixture model with outliers.
simulate_lcwm | Simulate data from a linear cluster-weighted model with outliers.
test_outlier_ombc | Check if a new sample satisfies the outlier criteria.
try_mixture_gpcm | Run 'mixture::gpcm' and try alternative covariance structures or initialisations if necessary.
uniform_outlier_ombc | Produce a single sample that passes the outlier checks.
uniform_sample_lcwm | Sample a potential outlier.
uniform_spans_lcwm | Obtain the span of the observations for each component.
validate_outliermbc_gmm | Validator for '"outliermbc_gmm"' S3 class.
validate_outliermbc_lcwm | Validator for '"outliermbc_lcwm"' S3 class.