PC                      Synthetic dataset containing the top 10
                        principal components (PC) from the dataset
                        'raw.data'
cal.eigen.fit           (Internal function) Calculae a vector of
                        EigenFit values, internally used for
                        parallelization
check.stopping          (Internal function) Check whether the IPCAPS
                        process meets the stopping criterion.
clustering              (Internal function) Perform the clustering
                        process of IPCAPS
clustering.mode         (Internal function) Select a clustering method
                        to be used for the IPCAPS process.
diff.eigen.fit          (Internal function) Calculate a vector of
                        different values from a vector of EigenFit
                        values, internally used for parallelization
diff.xy                 (Internal function) Check the different value
                        of X and Y, internally used for parallelization
do.glm                  (Internal function) Perform regression models,
                        internally used for parallelization
export.groups           Export the IPCAPS result to a text file
get.node.info           Get the information for specified node
ipcaps                  Perform unsupervised clustering to capture
                        population structure based on iterative pruning
label                   Synthetic dataset containing population labels
                        for the dataset 'raw.data'
output.template         (Internal object) The HTML output template for
                        IPCAPS
pasre.categorical.data
                        (Internal function) Manipulate categorical
                        input files
postprocess             (Internal function) Perform the post-processing
                        step of IPCAPS
preprocess              (Internal function) Perform the pre-processing
                        step of IPCAPS
process.each.node       (Internal function) Perform the iterative
                        process for each node
raw.data                Synthetic dataset containing single nucleotide
                        polymorphisms (SNP)
replace.missing         (Internal function) Replace missing values by
                        specified values, internally used for
                        parallelization
save.eigenplots.html    Generate HTML file for EigenFit plots
save.html               Generate HTML file for clustering result in
                        text mode
save.plots              Workflow to generate HTML files for all kinds
                        of plots
save.plots.cluster.html
                        Generate HTML file for scatter plots which all
                        data points are highlighted by IPCAPS clusters
save.plots.label.html   Generate HTML file for scatter plots which data
                        points are highlighted by given labels
top.discriminator       Detecting top discriminators between two groups
