Tools for estimating Receiver Operating Characteristic (ROC) curves,
building confidence bands, comparing several curves both for dependent and
independent data, estimating the cumulative-dynamic ROC curve in presence of
censored data, and performing meta-analysis studies, among others.
stats, methods, utils, graphics, sde, survival

Access the NS api and download current departure times,
disruptions and engineering work, the station list, and
travel recommendations from station to station. All results will be
returned as a 'data.frame'.
NS (Nederlandse Spoorwegen; Dutch Railways) is the largest train travel
provider in the Netherlands. for more information about the API itself
see <https://www.ns.nl/en/travel-information/ns-api>.
To use the API, and this package, you will need to obtain a username
and password. More information about authentication and the use of the functions
are described in the vignette.
person("Roel M.", "Hogervorst", email ="hogervorst.rm@gmail.com", role = c("cre", "aut"), comment = c(ORCID = "0000-0001-7509-0328"))
Roel M. Hogervorst [cre, aut] (<https://orcid.org/0000-0001-7509-0328>)

Methods for Fitting and Simulating Non-Stationary ARFIMA Models
person("Benjamin", "Groebe", email = "ben.groebe@gmail.com", role = c("aut", "cre"))
Routines for fitting and simulating data under autoregressive fractionally integrated moving average (ARFIMA) models, without the constraint of stationarity. Two fitting methods are implemented, a pseudo-maximum likelihood method and a minimum distance estimator. Mayoral, L. (2007) <doi:10.1111/j.1368-423X.2007.00202.x>. Beran, J. (1995) <doi:10.1111/j.2517-6161.1995.tb02054.x>.

Routines for fitting and simulating data under autoregressive fractionally integrated moving average (ARFIMA) models, without the constraint of covariance stationarity. Two fitting methods are implemented, a pseudo-maximum likelihood method and a minimum distance estimator. Mayoral, L. (2007) <doi:10.1111/j.1368-423X.2007.00202.x>. Beran, J. (1995) <doi:10.1111/j.2517-6161.1995.tb02054.x>.