person(given = 'Paul', family = 'Hoffman', email = 'seurat@nygenome.org', role = c('aut', 'cre'), comment = c(ORCID = '0000-0002-7693-8957')),
Imports: grDevices, grid, Matrix (>= 1.3.3), methods, Rcpp (>= 1.0.5),

Imports: future, future.apply, grDevices, grid, Matrix (>= 1.3.3),
methods, progressr, Rcpp (>= 1.0.5), sp, rgeos, rlang (>=
Collate: 'RcppExports.R' 'zzz.R' 'generics.R' 'graph.R' 'assay.R'
'centroids.R' 'command.R' 'data.R' 'default.R' 'jackstraw.R'
'spatial.R' 'fov.R' 'logmap.R' 'neighbor.R' 'seurat.R'

Imports: future, future.apply, grDevices, grid, Matrix (>= 1.5.0),
methods, progressr, Rcpp (>= 1.0.5), sp (>= 1.5.0), rgeos,

methods, progressr, Rcpp (>= 1.0.5), rlang (>= 0.4.7), stats,

Title: Change-Point Estimation using Shape-Restricted Splines
Description: In a scatterplot where the response variable is Gaussian, Poisson or binomial, we consider the case in which the mean function is smooth with a change-point, which is a mode, an inflection point or a jump point. The main routine estimates the mean curve and the change-point as well using shape-restricted B-splines. An optional subroutine delivering a bootstrapping confidence interval for the change-point is incorporated in the main routine.
Suggests: stats, MASS, graphics, grDevices, utils

Description: In a scatterplot where the response variable is Gaussian, Poisson or binomial, we consider the case in which the mean function is smooth with a change-point, which is a mode, an inflection point or a jump point. The main routine estimates the mean curve and the change-point as well using shape-restricted B-splines. An optional subroutine delivering a bootstrap confidence interval for the change-point is incorporated in the main routine.

Title: Tools for Analyzing Planar Shape and Associated Patterns
Description: An evolving and growing collection of tools for the quantification, assessment, and comparison of planar shape and pattern. The current flagship functionality is in the spatial decomposition of planar shapes using 'ShrinkShape' to incrementally shrink shapes to extinction while computing area, perimeter, and number of parts at each iteration of shrinking. The spectra of results are returned in graphic and tabular formats. Additional utility tools for handling data are provided and this package will be added to as more tools are created, cleaned-up, and documented.