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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: | 2.7.1 |
| Depends: | R (≥ 3.5.0), Rcpp (≥ 1.0.3), methods |
| Imports: | MASS, miscTools, robustbase, rrcov, pcaPP, mclust, ggplot2, GGally, sn (≥ 1.3.0), withr |
| LinkingTo: | Rcpp, RcppArmadillo (≥ 0.9.500.2.0) |
| Suggests: | testthat |
| Published: | 2023-04-04 |
| DOI: | 10.32614/CRAN.package.MAINT.Data |
| Author: | Pedro Duarte Silva, Paula Brito <mpbrito.fep.up.pt> |
| Maintainer: | Pedro Duarte Silva <psilva at ucp.pt> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| CRAN checks: | MAINT.Data results |
| Reference manual: | MAINT.Data.pdf |
| Package source: | MAINT.Data_2.7.1.tar.gz |
| Windows binaries: | r-devel: MAINT.Data_2.7.1.zip, r-release: MAINT.Data_2.7.1.zip, r-oldrel: MAINT.Data_2.7.1.zip |
| macOS binaries: | r-release (arm64): MAINT.Data_2.7.1.tgz, r-oldrel (arm64): MAINT.Data_2.7.1.tgz, r-release (x86_64): MAINT.Data_2.7.1.tgz, r-oldrel (x86_64): MAINT.Data_2.7.1.tgz |
| Old sources: | MAINT.Data archive |
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These binaries (installable software) and packages are in development.
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