Person-Oriented Method and Perturbation on the Model
c(person("Xiao", "Yang", email = "xfy5031@psu.edu", role = c("cre", "aut")),person("Nilam", "Ram", email = "nur5@psu.edu", role = "aut"),person("Peter", "Molenaar", email = "pxm21@psu.edu", role = "aut"))
An implementation of a hybrid method of person-oriented method and perturbation on the model. Pompom is the initials of the two methods. The hybrid method will provide a multivariate intraindividual variability metric (iRAM). The person-oriented method used in this package refers to uSEM (unified structural equation modeling, see Kim et al., 2007, Gates et al., 2010 and Gates et al., 2012 for details). Perturbation on the model was conducted according to impulse response analysis introduced in Lutkepohl (2007).
Kim, J., Zhu, W., Chang, L., Bentler, P. M., & Ernst, T. (2007) <doi:10.1002/hbm.20259>.
Gates, K. M., Molenaar, P. C. M., Hillary, F. G., Ram, N., & Rovine, M. J. (2010) <doi:10.1016/j.neuroimage.2009.12.117>.
Gates, K. M., & Molenaar, P. C. M. (2012) <doi:10.1016/j.neuroimage.2012.06.026>.
Lutkepohl, H. (2007, ISBN:3540262393).
Xiao Yang [cre, aut],
Nilam Ram [aut],
Peter Molenaar [aut]

c(person("Xiao", "Yang", email = "vwendy@gmail.com", role = c("cre", "aut")),person("Nilam", "Ram", email = "nur5@psu.edu", role = "aut"),person("Peter", "Molenaar", email = "pxm21@psu.edu", role = "aut"))

Inspired by Moreira and Gamerman (2022) <doi:10.1214/21-AOAS1569>,
this methodology expands the idea by including Marks in the point process.
Using efficient 'C++' code, the estimation is possible and made faster with
'OpenMP' <https://www.openmp.org/> enabled computers.
Rcpp, coda, geoR, parallel, methods, graphics, stats, tools
'RcppExports.R' 'covariance_importance.R' 'prior-class.R'
'initial-class.R' 'model-class.R' 'fit-class.R'
'pompp-package.R' 'pompp.R'

functions for computing closures of relations

Finds equivalence classes corresponding to a symmetric relation
or undirected graph.  Finds total order consistent with partial order
or directed graph (so-called topological sort).