Most of the functions for RiemBase package require data to be wrapped as a riemdata class.
Since manifolds of interests endow data points with specific constraints, the function riemfactory
first checks the requirements to characterize the manifold and then wraps the data into
riemdata class, which is simply a list of manifold-valued data and the name of manifold.
riemfactory(data, name = c("Euclidean", "Grassmann", "SPD", "Sphere",
"Stiefel"))data to be wrapped as riemdata class. Following input formats are considered,
an \((m\times p)\) matrix where data are stacked in columns over 2nd dimension. Appropriate for vector-valued Euclidean or Sphere manifold case.
an \((m\times n\times p)\) matrix where data are stacked in slices over 3rd dimension.
unnamed list where each element of the list is a single data point. Sizes of all elements must match.
the name of Riemmanian manifold for data to which data belong.
a named riemdata S3 object containing
a list of manifold-valued data points.
size of each data matrix.
name of the manifold of interests.
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