Functions and datasets  to accompany J. Albert and J. Hu, "Probability and Bayesian Modeling", CRC Press, (2019, ISBN: 1138492566).

Probabilistic Weather Field Forecast using the GOP method
Yulia Gel, Adrian E. Raftery, Tilmann Gneiting, Veronica J. Berrocal
It produces probabilistic weather field forecasts using the Geostatistical Output Perturbation method introduced by Y. Gel, A. E. Raftery and T. Gneiting (JASA 99, 2004)

Probabilistic weather forecast using the GOP method
Veronica J. Berrocal <veroberrocal@gmail.com>, Yulia Gel,
Adrian E. Raftery, Tilmann Gneiting
The ProbForecastGOP package contains a main function,
called ProbForecastGOP and other functions, to produce
probabilistic weather forecasts of weather fields using the
Geostatistical Output Perturbation (GOP) method of Gel,
Raftery, and Gneiting (JASA, 2004).

Computing Logit & Probit Predicted Probabilities & Marginal
Effects
Computes predicted probabilities and marginal effects for
binary & ordinal logit and probit, (partial) generalized ordinal &
multinomial logit models estimated with the glm(), clm() (in the
'ordinal' package), and vglm() (in the 'VGAM' package) functions.

Score Optimal Probabilistic Forecast Reconciliation
c(person(given = "Anastasios",
family = "Panagiotelis",
email = "anastasios.panagiotelis@sydney.edu.au",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-8678-7294")))
Training of reconciliation weights for probabilistic forecasts to optimise total energy (or variogram) score using Stochastic Gradient Descent with automatically differentiated gradients. See Panagiotelis, Gamakumara, Athanasopoulos and Hyndman, (2020) <https://www.monash.edu/business/ebs/research/publications/ebs/wp26-2020.pdf> for a description of the methods.
Rcpp (>= 1.0.2), purrr(>= 0.3.2), mvtnorm, Rdpack
knitr, rmarkdown, fable, dplyr,tidyr, magrittr, stringi
Rcpp, RcppEigen, StanHeaders (>= 2.19.1), BH
Anastasios Panagiotelis [aut, cre]
(<https://orcid.org/0000-0001-8678-7294>)

Rdpack, knitr, rmarkdown, fable, dplyr,tidyr, magrittr,
stringi