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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Duarte Silva, P., Brito, M. P., Filzmoser, P. & Dias, J. G. (2021). MAINT.Data: Modelling and analysing interval data in R. R Journal. 13 (2), 336-364
Exportar Referência (IEEE) 
P. D. Silva et al.,  "MAINT.Data: Modelling and analysing interval data in R", in R Journal, vol. 13, no. 2, pp. 336-364, 2021
Exportar BibTeX 
@article{silva2021_1734885333114,
	author = "Duarte Silva, P. and Brito, M. P. and Filzmoser, P. and Dias, J. G.",
	title = "MAINT.Data: Modelling and analysing interval data in R",
	journal = "R Journal",
	year = "2021",
	volume = "13",
	number = "2",
	doi = "10.32614/RJ-2021-074",
	pages = "336-364",
	url = "https://journal.r-project.org/archive/2021-2/"
}
Exportar RIS 
TY  - JOUR
TI  - MAINT.Data: Modelling and analysing interval data in R
T2  - R Journal
VL  - 13
IS  - 2
AU  - Duarte Silva, P.
AU  - Brito, M. P.
AU  - Filzmoser, P.
AU  - Dias, J. G.
PY  - 2021
SP  - 336-364
SN  - 2073-4859
DO  - 10.32614/RJ-2021-074
UR  - https://journal.r-project.org/archive/2021-2/
AB  - We present the CRAN R package MAINT.Data for the modelling and analysis of multivariate
interval data, i.e., where units are described by variables whose values are intervals of IR, representing
intrinsic variability. Parametric inference methodologies based on probabilistic models for interval
variables have been developed, where each interval is represented by its midpoint and log-range, for
which multivariate Normal and Skew-Normal distributions are assumed. The intrinsic nature of the
interval variables leads to special structures of the variance-covariance matrix, which are represented
by four different possible configurations. MAINT.Data implements the proposed methodologies
in the S4 object system, introducing a specific data class for representing interval data. It includes
functions and methods for modelling and analysing interval data, in particular maximum likelihood
estimation, statistical tests for the different configurations, (M)ANOVA and Discriminant Analysis.
For the Gaussian model, Model-based Clustering, robust estimation, outlier detection and Robust
Discriminant Analysis are also available.
ER  -