Core methods and classes used by higher-level 'aroma.*' packages
        part of the Aroma Project, e.g. 'aroma.affymetrix' and 'aroma.cn'.

Tools for geometric morphometric analysis. The package includes tools of virtual anthropology to align two not articulated parts belonging to the same specimen, to build virtual cavities as endocast (Profico et al, 2021 <doi:10.1002/ajpa.24340>).

Contains functions for retrieving, managing and analysing air quality and weather data from Regione Lombardia open database (<https://www.dati.lombardia.it/>).
    Data are collected by ARPA Lombardia (Lombardia Environmental Protection Agency), Italy, through its ground monitoring network.
    See the webpage <https://www.arpalombardia.it/> for further information on ARPA Lombardia's activities and history.
    Data quality (e.g. missing values, exported values, graphical mapping) has been checked involving members of the ARPA Lombardia's office for air quality control.
    The package makes available observations since 1989 (for weather) and 1968 (for air quality) and are updated with daily frequency by the regional agency.
    Full description of the package can be retrieved in the companion paper Maranzano \& Algieri (2024), "ARPALData: an R package for retrieving and analyzing air quality 
    and weather data from ARPA Lombardia (Italy)", Environmental and Ecological Statistics, <doi:10.1007/s10651-024-00599-6>.

Left, right or interval censored mixed-effects linear model with autoregressive errors of order p or DEC correlation structure using the type-EM algorithm. The error distribution  can be Normal or t-Student. It provides the  parameter estimates, the standard errors  and prediction of future observations (available only for the normal case). Olivari et all (2021) <doi:10.1080/10543406.2020.1852246>.

Tools for simulating data generated by direct observation
    recording. Behavior streams are simulated based on an alternating renewal
    process, given specified distributions of event durations and interim
    times. Different procedures for recording data can then be applied to the
    simulated behavior streams. Functions are provided for the following
    recording methods: continuous duration recording, event counting, momentary
    time sampling, partial interval recording, whole interval recording, and
    augmented interval recording.