Flexibly Format Dates and Times to a Given Locale
Format dates and times flexibly and to whichever locales
make sense. Parses dates, times, and date-times in various formats
(including string-based ISO 8601 constructions). The formatting syntax gives
the user many options for formatting the date and time output in a precise
manner. Time zones in the input can be expressed in multiple ways and there
are many options for formatting time zones in the output as well. Several of
the provided helper functions allow for automatic generation of locale-aware
formatting patterns based on date/time skeleton formats and standardized
date/time formats with varying specificity.

Scalable Bayesian Disease Mapping Models for High-Dimensional
Data
c(person(given = "Aritz",
family = "Adin",
role = c("aut", "cre"),
email = "aritz.adin@unavarra.es",
comment = c(ORCID = "0000-0003-3232-6147")),
person(given = "Erick",
family = "Orozco-Acosta",
role = "aut",
comment = c(ORCID = "0000-0002-1170-667X")),
person(given = "Maria Dolores",
family = "Ugarte",
role = "aut",
comment = c(ORCID = "0000-0002-3505-8400"))
)
Implements several spatial and spatio-temporal scalable disease mapping models for high-dimensional count data using the INLA technique for approximate Bayesian inference in latent Gaussian models (Orozco-Acosta et al., 2021 <doi:10.1016/j.spasta.2021.100496> and Orozco-Acosta et al., 2022 <arXiv:2201.08323>).
crayon, future, future.apply, MASS, Matrix, methods, parallel,
RColorBrewer, Rdpack, sf, spatialreg, spdep, stats, utils,
rlist
bookdown, INLA (>= 21.11.22), knitr, rmarkdown, testthat (>=
3.0.0), tmap
Aritz Adin [aut, cre] (<https://orcid.org/0000-0003-3232-6147>),
Erick Orozco-Acosta [aut] (<https://orcid.org/0000-0002-1170-667X>),
Maria Dolores Ugarte [aut] (<https://orcid.org/0000-0002-3505-8400>)

Implements several spatial and spatio-temporal scalable disease mapping models for high-dimensional count data using the INLA technique for approximate Bayesian inference in latent Gaussian models (Orozco-Acosta et al., 2021 <doi:10.1016/j.spasta.2021.100496> and Orozco-Acosta et al., 2022 <arXiv:2201.08323>). The creation and develpment of this package has been supported by Project MTM2017-82553-R (AEI/FEDER, UE) and Project PID2020-113125RB-I00/MCIN/AEI/10.13039/501100011033. It has also been partially funded by the Public University of Navarra (project PJUPNA2001).