Transmissions and Receptions in a Hop by Hop Network
Computes the expectation of the number of transmissions and receptions considering a Hop-by-Hop transport model with limited number of retransmissions per packet. It provides the theoretical results shown in Palma et. al.(2015) <DOI:10.1109/APCASE.2015.59> and also estimated values based on Monte Carlo simulations.

Computes the expectation of the number of transmissions and receptions considering a Hop-by-Hop transport model with limited number of retransmissions per packet. It provides the theoretical results shown in Palma et. al.(2016) <DOI:10.1109/TLA.2016.7555237> and also estimated values based on Monte Carlo simulations.

Computes the expectation of the number of transmissions and receptions considering a Hop-by-Hop transport model with limited number of retransmissions per packet. It provides the theoretical results shown in Palma et. al.(2016) <DOI:10.1109/TLA.2016.7555237> and also estimated values based on Monte Carlo simulations. It is also possible to consider random data and ACK probabilities.

Hierarchical Ordered Probit Models with Application to Reporting
Heterogeneity
MASS, Rcpp, Matrix, graphics, stats, grDevices, Rdpack (>=
0.11.0)
person("Maciej J.", "Danko", role = c("aut", "cre"),
email = "Maciej.Danko@gmail.com", comment = c(ORCID = "0000-0002-7924-9022"))

MASS, Rcpp, Matrix, graphics, stats, grDevices, questionr,
parallel, Rdpack (>= 0.11.0)

MASS, Rcpp, graphics, stats, grDevices, questionr, parallel,
Rdpack (>= 0.11.0)

MASS, Rcpp, Matrix, Rdpack, graphics, stats, grDevices
knitr, rmarkdown, roxygen2, pander, testthat, usethis

Calculate Hopkins Statistic for Clustering
c(
person("Kevin","Wright", email="kw.stat@gmail.com",
comment=c(ORCID = "0000-0002-0617-8673"), role=c("aut","cre")))
Calculate Hopkins statistic to assess the clusterability of data. See Hopkins and Skellam (1954) <doi:10.1093/oxfordjournals.aob.a083391>.
knitr, rmarkdown, spatstat.data, testthat (>= 3.0.0)

Calculates horizon elevation angle and sky view factor from a digital terrain model.