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: | 2.2.0 |
| Depends: | R (≥ 3.1.0), Rcpp (≥ 0.11.0), sn (≥ 1.3.0) |
| Imports: | MASS, methods, miscTools, robustbase, rrcov, pcaPP, mclust, ggplot2 |
| LinkingTo: | Rcpp, RcppEigen |
| Published: | 2019-05-08 |
| 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_2.2.0.tar.gz |
| Windows binaries: | r-devel: MAINT.Data_2.2.0.zip, r-release: MAINT.Data_2.2.0.zip, r-oldrel: MAINT.Data_2.2.0.zip |
| OS X binaries: | r-release: MAINT.Data_2.2.0.tgz, r-oldrel: MAINT.Data_2.2.0.tgz |
| Old sources: | MAINT.Data archive |
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