'RcppExports.R' 'bias_correct_curve.R' 'get.lam.R' 'package.R'
'periodic_lowess.R' 'smoother_functions.R' 'principal_curve.R'
'principal.curve.R' 'start_circle.R'

Fitting a principal curve to a data matrix in arbitrary dimensions.
Hastie and Stuetzle (1989) <doi:10.2307/2289936>.
'RcppExports.R' 'bias_correct_curve.R' 'deprecated.R'
'package.R' 'periodic_lowess.R' 'smoother_functions.R'
'principal_curve.R' 'start_circle.R'

Fit a Principal Curve in Arbitrary Dimension

Finding and plotting nearly-null space bases
Davor Cubranic <cubranic@stat.ubc.ca>, based on Matlab code by
J.S. Marron <marron@unc.edu>
Functions for analyzing the nearly null space and finding
interesting structures of low variability, as defined by
a simplicity measure.

Finding and plotting simple basis vectors for multivariate data
Davor Cubranic, Jonathan Zhang, Nancy Heckman, Travis Gaydos,
and J.S. Marron
Provides capabilities beyond principal components
analysis to focus on finding structure in low variability
subspaces. Constructs and plots simple basis vectors for
pre-defined and user-defined measures of simplicity.

Automatically Print R Objects to Appropriate Formats According
to the 'knitr' Output Format
Extends the S3 generic function knit_print() in 'knitr'
to automatically print some objects using an appropriate format such as
Markdown or LaTeX. For example, data frames are automatically printed as
tables, and the help() pages can also be rendered in 'knitr' documents.

c(
person(
given = "Jan",
family = "Bauer",
email = "",
role = c("aut", "ctb")
),
person(
given = "Ron",
family = "Holzapfel",
email = "ronholzapfel@outlook.de",
role = c("aut", "cre")
)
)
Provides methods for reducing the number of features within a data set. See Bauer JO (2021) <doi:10.1145/3475827.3475832> and Bauer JO, Drabant B (2021) <doi:10.1016/j.jmva.2021.104754> for more information on principal loading analysis.
'block.R' 'cor.R' 'explained-variance.R' 'get-blocks.R'
'thresholding.R' 'scale.R' 'utils.R' 'pla.R'
'prinvars-package.R'
Jan Bauer [aut, ctb],
Ron Holzapfel [aut, cre]