Implementation of several multivariate areal latent effects for
'INLA' using the 'rgeneric' latent effect (Palmí-Perales et al., 2019,
<doi:10.18637/jss.v098.i02>). The 'INLA' package can be downloaded from
<https://www.r-inla.org>. In particular, the package includes latent
effects ready to use for several multivariate spatial models:
intrinsic CAR, proper CAR and the M-model (Botella-Rocamora
et al., 2015, <doi:10.1002/sim.6423>).

c(
person("Tim CD", "Lucas", email =  "timcdlucas@gmail.com", role = c("aut", "cre")),
person("Dave", "Redding", email = "dwredding@gmail.com", role = "aut")
)
A number of utility functions for 'INLA' <http://www.r-inla.org>. Additional diagnostic plots
and support for 'ggplot2'. Step wise regression with 'INLA'. Species distribution models
and other helper functions.
ggfortify, assertthat, raster, methods, RColorBrewer, sp,
reshape2
Tim CD Lucas [aut, cre],
Dave Redding [aut]

c(
person("Tim CD", "Lucas", email =  "timcdlucas@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4694-8107")),
person("Dave", "Redding", email = "dwredding@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-8615-1798"))
)

Quality Control of Climatological Daily Time Series
c(
person(given = "Enric", family = "Aguilar", role = c("aut", "cre"), email = "enric.aguilar@urv.cat", comment = c(ORCID = "0000-0002-8384-377X")),
person(given = "Oleg", family = "Skrynyk", role =  "aut", email = "oleg.y.skrynyk@gmail.com", comment = c(ORCID = "0000-0001-8827-0280")))
Collection of functions for quality control (QC) of climatological daily time series (e.g. the ECA&D station data).

IN-vivo reSPonsE Classification of Tumours
c(
person(given = "Bairu", family = "Zhang", email = "bairu.zhang@astrazeneca.com", role = c("cre", "aut")),
person(given = "Olga", family = "Muraeva", email = "olga.muraeva@astrazeneca.com", role = c("aut")),
person(given = "Natasha", family = "Karp", email = "natasha.karp@astrazeneca.com", role = c("aut"))
)
This is a shiny app used for the statistical classifying and analysing
pre-clinical tumour responses.
brms, dplyr, DT, ggeffects, ggplot2, knitr, lme4, modelr,
pander, plotly, purrr, readxl, rlang, rmarkdown, shiny,
shinyalert, shinyFeedback, shinyjs, shinytoastr, shinyvalidate,
tidybayes, tippy, tidyr, vroom, waiter
Bairu Zhang [cre, aut],
Olga Muraeva [aut],
Natasha Karp [aut]