c(
person("David", "Ruegamer", , "david.ruegamer@gmail.com", role = c("aut", "cre")),
person("Florian", "Pfisterer", , "florian.pfisterer@stat.uni-muenchen.de", role = c("ctb")),
person("Philipp", "Baumann", , "baumann@kof.ethz.ch", role = c("ctb")),
person("Chris", "Kolb", , "chris.kolb@stat.uni-muenchen.de", role = c("ctb")))
Allows for the specification of semi-structured deep distributional regression models which are fitted in a neural network as
proposed by Ruegamer et al. (2021) <arXiv:2104.02705>.
Predictors can be modeled using structured (penalized) linear effects, structured non-linear effects or using an unstructured deep network model.
list( packages = list( list(package = "six", pip =
TRUE), list(package = "tensorflow", version = "2.5.0rc0", pip =
TRUE), list(package = "tensorflow_probability", version =
"0.12", pip = TRUE), list(package = "keras", version =
"2.5.0rc0", pip = TRUE)) )
tensorflow (>= 2.2.0), tfprobability, keras, mgcv, dplyr,
purrr, R6, reticulate (>= 1.14), Matrix, magrittr, Metrics,
tfruns, methods, utils
David Ruegamer [aut, cre],
Florian Pfisterer [ctb],
Philipp Baumann [ctb],
Chris Kolb [ctb]

c(
person("David", "Ruegamer", , "david.ruegamer@gmail.com", role = c("aut", "cre")),
person("Florian", "Pfisterer", , "florian.pfisterer@stat.uni-muenchen.de", role = c("ctb")),
person("Philipp", "Baumann", , "baumann@kof.ethz.ch", role = c("ctb")),
person("Chris", "Kolb", , "chris.kolb@stat.uni-muenchen.de", role = c("ctb")),
person("Lucas", "Kook", , "lucasheinrich.kook@uzh.ch", role = c("ctb")))
list( packages = list( list(package = "six", pip =
TRUE), list(package = "tensorflow", version = "2.10.0", pip =
TRUE), list(package = "tensorflow_probability", version =
"0.16", pip = TRUE), list(package = "keras", version =
"2.10.0", pip = TRUE)) )
mgcv, dplyr, R6, reticulate (>= 1.14), Matrix, magrittr,
tfruns, methods
David Ruegamer [aut, cre],
Florian Pfisterer [ctb],
Philipp Baumann [ctb],
Chris Kolb [ctb],
Lucas Kook [ctb]

Plotting Tools for Anyone Working in Deep Time
person("William", "Gearty", email = "willgearty@gmail.com", role = c("aut", "cre"))
Extends the functionality of other plotting packages like
'ggplot2' and 'lattice' to help facilitate the plotting of data over long time
intervals, including, but not limited to, geological, evolutionary, and ecological
data. The primary goal of 'deeptime' is to enable users to add highly customizable
timescales to their visualizations. Other functions are also included to assist
with other areas of deep time visualization.
ggplot2, ggnewscale, utils, grid, gridExtra, gtable, methods,
stats, lattice, rlang, scales
tidyverse, divDyn, gsloid, phytools, paleotree, ggforce,
dispRity, ggtree