Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.
Version: | 1.2.1 |
Depends: | R (≥ 3.1.0), Rcpp (≥ 0.11.0), sn (≥ 1.3.0) |
Imports: | MASS, methods, miscTools, robustbase, rrcov, pcaPP, mclust |
LinkingTo: | Rcpp, RcppEigen |
Published: | 2018-01-07 |
Author: | Pedro Duarte Silva, Paula Brito <mpbrito.fep.up.pt> |
Maintainer: | Pedro Duarte Silva <psilva at porto.ucp.pt> |
License: | GPL-2 |
NeedsCompilation: | yes |
Materials: | ChangeLog |
CRAN checks: | MAINT.Data results |
Reference manual: | MAINT.Data.pdf |
Package source: | MAINT.Data_1.2.1.tar.gz |
Windows binaries: | r-devel: MAINT.Data_1.2.1.zip, r-release: MAINT.Data_1.2.1.zip, r-oldrel: MAINT.Data_1.2.1.zip |
OS X El Capitan binaries: | r-release: MAINT.Data_1.2.1.tgz |
OS X Mavericks binaries: | r-oldrel: MAINT.Data_1.2.1.tgz |
Old sources: | MAINT.Data archive |
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