Quality Control and Semantic Enrichment of Datasets
c(person("Tom", "Toner", role = c("aut"),
email = "ttoner03@qub.ac.uk",
comment = c(ORCID = "0000-0001-8059-5822")),
person("Ian", "Overton", role = c("aut", "cre"),
email = "I.Overton@qub.ac.uk",
comment = c(ORCID = "0000-0003-1158-8527"))
)
A tool for the preparation and enrichment of health datasets for analysis. Provides functionality for assessing data quality and for improving the reliability and machine interpretability of a dataset.
'eHDPrep' also enables semantic enrichment of a dataset where metavariables are discovered from the relationships between input variables determined from user-provided ontologies.

Extended and enhanced Hierarchical Logistic Regression models
(so called Huisman-Olff-Fresco models).
Hierarchical logistic species response curves along
one-dimensional gradients including no response, monotone,
plateau, unimodal and bimodal models.

Hierarchical logistic species response curves along one-dimensional gradients including no response, monotone, plateau, unimodal and bimodal models.

Extended and enhanced hierarchical logistic regression models (called Huisman-Olff-Fresco in biology, see Huisman et al. 1993 Journal of Vegetation Science <doi:10.1111/jvs.12050>) models. Response curves along one-dimensional gradients including no response, monotone, plateau, unimodal and bimodal models.

Extended and enhanced Hierarchical Logistic Regression models
(so-called Huisman-Olff-Fresco models).

Extended hierarchical logistic regression (Huisman-Olff-Fresco)
models
Extended and enhanced hierarchical logistic regression models, so-called Huisman-Olff-Fresco models. Response curves along one-dimensional gradients including no response, monotone, plateau, unimodal and bimodal models.

Extended and enhanced hierarchical logistic regression models (called Huisman-Olff-Fresco in biology, see Huisman eta l. 1993 JVS) models. Response curves along one-dimensional gradients including no response, monotone, plateau, unimodal and bimodal models.