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
survreg, crch, MAINT.Data, symbolicDA, RSDA, iRegression, GPCSIV, sn, Rcpp, RcppArmadillo, rrcov, mclust, nycflights13, tidyverse
Cluster, Distributions, Econometrics, Environmetrics, HighPerformanceComputing, NumericalMathematics, Robust
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For attribution, please cite this work as
Silva, et al., "The R Journal: MAINT.Data: Modelling and Analysing Interval Data in R", The R Journal, 2021
BibTeX citation
@article{RJ-2021-074,
author = {Silva, A. Pedro Duarte and Brito, Paula and Filzmoser, Peter and Dias, José G.},
title = {The R Journal: MAINT.Data: Modelling and Analysing Interval Data in R},
journal = {The R Journal},
year = {2021},
note = {https://doi.org/10.32614/RJ-2021-074},
doi = {10.32614/RJ-2021-074},
volume = {13},
issue = {2},
issn = {2073-4859},
pages = {336-364}
}