MAINT.Data: Model and Analyse Interval Data

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: 2.6.2
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: 2021-09-21
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

Documentation:

Reference manual: MAINT.Data.pdf

Downloads:

Package source: MAINT.Data_2.6.2.tar.gz
Windows binaries: r-devel: MAINT.Data_2.6.2.zip, r-release: MAINT.Data_2.6.2.zip, r-oldrel: MAINT.Data_2.6.2.zip
macOS binaries: r-release (arm64): MAINT.Data_2.6.2.tgz, r-oldrel (arm64): MAINT.Data_2.6.2.tgz, r-release (x86_64): MAINT.Data_2.6.2.tgz, r-oldrel (x86_64): MAINT.Data_2.6.2.tgz
Old sources: MAINT.Data archive

Linking:

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