mmiranda-ugr.r-universe.dev

[mmiranda-ugr] pandemics 0.1.0

mmiranda@ugr.es (María Dolores Martínez-Miranda) — Thu, 05 Sep 2024 02:53:51 GMT

Full dynamic system to describe and forecast the spread and the severity of a developing pandemic, based on available data. These data are number of infections, hospitalizations, deaths and recoveries notified each day. The system consists of three transitions, infection-infection, infection-hospital and hospital-death/recovery. The intensities of these transitions are dynamic and estimated using non-parametric local linear estimators. The package can be used to provide forecasts and survival indicators such as the median time spent in hospital and the probability that a patient who has been in hospital for a number of days can leave it alive. Methods are described in Gámiz, Mammen, Martínez-Miranda, and Nielsen (2024) and .

[mmiranda-ugr] DCL 0.1.2

mmiranda@ugr.es (Maria Dolores Martinez-Miranda) — Thu, 05 May 2022 15:40:02 GMT

Statistical modelling and forecasting in claims reserving in non-life insurance under the Double Chain Ladder framework by Martinez-Miranda, Nielsen and Verrall (2012).

[mmiranda-ugr] DOvalidation 1.1.0

mmiranda@ugr.es (Maria Dolores Martinez-Miranda) — Fri, 20 Oct 2017 09:37:11 GMT

Local linear hazard estimator and its multiplicatively bias correction, including three bandwidth selection methods: best one-sided cross-validation, double one-sided cross-validation, and standard cross-validation.