c(person("Benjamin", "Christoffersen",
email = "boennecd@gmail.com",
role = c("cre", "aut"),
comment = c(ORCID = "0000-0002-7182-1346")),
person("Alan", "Miller",
role = c("cph")),
person("Anthony", "Williams",
role = c("cph")),
person("Boost developers",
role = c("cph")),
person("R-core", email = "R-core@R-project.org",
role = c("cph")))
Benjamin Christoffersen [cre, aut]
(<https://orcid.org/0000-0002-7182-1346>),
Alan Miller [cph],
Anthony Williams [cph],
Boost developers [cph],
R-core [cph]

Contains functions that lets you fit dynamic hazard models using
state space models. The first implemented model is described in Fahrmeir
(1992) <doi:10.1080/01621459.1992.10475232> and Fahrmeir (1994)
<doi:10.1093/biomet/81.2.317>. Extensions hereof are available where the
Extended Kalman filter is replaced by an unscented Kalman filter.
See Christoffersen (2021) <doi:10.18637/jss.v099.i07> for more details.
Particle filters and smoothers are also supported more general state space
models.

Routines for estimation, simulation, regularization and prediction of univariate dynamic models including: ARMA, ARMA-GARCH, ACD, MEM.

Routines for estimation, simulation, regularization and
prediction of univariate dynamic models including: ARMA,
ARMA-GARCH, ACD, MEM.

Fit a Stochastic Dynamical Array Model to Array Data
An implementation of the method proposed in Lund and Hansen (2018) for fitting 3-dimensional dynamical array models.  The implementation is based on the glamlasso package, see Lund et al. (2017) <doi:10.1080/10618600.2017.1279548>, for efficient design matrix free lasso regularized estimation in a generalized linear array model. The implementation uses a block relaxation scheme to fit each individual component in the model using functions from the glamlasso package.
glamlasso (>= 3.0), abind, MortalitySmooth

An Implementation of Dynamic TOPMODEL Hydrological Model in R
c(person(given = "Paul",
family = "Smith",
role = c("aut", "cre"),
email = "paul@waternumbers.co.uk",
comment = c(ORCID = "0000-0002-0034-3412")),
person(given = "Peter",family = "Metcalfe",role = c("aut"))
)
An R implementation and enhancement of the Dynamic TOPMODEL semi-distributed hydrological model originally proposed by Beven and Freer (2001) <doi:10.1002/hyp.252>. The 'dynatop' package implements code for simulating models which can be created using the 'dynatopGIS' package.
raster, rgdal, knitr, rmarkdown, covr, bookdown, pkgdown,
testthat (>= 3.0.0)
Paul Smith [aut, cre] (<https://orcid.org/0000-0002-0034-3412>),
Peter Metcalfe [aut]