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Lagged Weighted Quantile Sum Regression
Wrapper functions for the implementation of lagged weighted quantile sum regression, as per 'Gennings et al' (2020)
Tools for Analysis, Design, and Operation of Water Supply Storages
Measure single-storage water supply system performance using resilience, reliability, and vulnerability metrics; assess storage-yield-reliability relationships; determine no-fail storage with sequent peak analysis; optimize release decisions for water supply, hydropower, and multi-objective reservoirs using deterministic and stochastic dynamic programming; generate inflow replicates using parametric and non-parametric models; evaluate inflow persistence using the Hurst coefficient.
A Modification of Fleiss' Kappa in Case of Nominal and Ordinal Variables
The kappa statistic implemented by Fleiss is a very popular index for assessing the reliability of agreement among multiple observers. It is used both in the psychological and in the psychiatric field. Other fields of application are typically medicine, biology and engineering. Unfortunately,the kappa statistic may behave inconsistently in case of strong agreement between raters, since this index assumes lower values than it would have been expected. We propose a modification kappa implemented by Fleiss in case of nominal and ordinal variables. Monte Carlo simulations are used both to testing statistical hypotheses and to calculating percentile bootstrap confidence intervals based on proposed statistic in case of nominal and ordinal data.
Multivariate Model Based Inference for Domains
Allows users to produce estimates and MSE for multivariate variables using Linear Mixed Model. The package follows the approach of Datta, Day and Basawa (1999)
Community Detection by Scaled Null-Adjusted Persistence
Finds the vertex partition of an undirected graph that maximises
a persistence-based objective, using the Milano local-search algorithm.
Three related quality measures are supported: the persistence probability
of a community, its null-adjusted persistence (NAP), and the scaled
null-adjusted persistence (Scaled-NAP), which interpolates between NAP and
modularity. The methods are described in Avellone et al. (2023)
Optimal Graph Partition using the Persistence
Calculate the optimal vertex partition of a graph using the
persistence as objective function.
These subroutines have been used in Avellone et al.
The GiViTI Calibration Test and Belt
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano per la Valutazione degli interventi in Terapia Intensiva, Italian Group for the Evaluation of the Interventions in Intensive Care Units - see < http://www.giviti.marionegri.it/>) approach. The approach consists in a graphical tool, namely the GiViTI calibration belt, and in the associated statistical test. These tools can be used both to evaluate the internal calibration (i.e. the goodness of fit) and to assess the validity of an externally developed model.
Intervention in Prediction Measure for Random Forests
Computes intervention in prediction measure for assessing variable importance for random forests. See details at I. Epifanio (2017)
Biodiversity Assessment Tools
Includes algorithms to assess alpha and beta diversity
in all their dimensions (taxonomic, phylogenetic and functional).
It allows performing a number of analyses based on species
identities/abundances, phylogenetic/functional distances, trees,
convex-hulls or kernel density n-dimensional hypervolumes
depicting species relationships.
Cardoso et al. (2015)
Environmental Noise Pollution Data Analysis
Provides analyse, interpret and understand noise pollution data. Data are typically regular time series measured with sound meter. The package is partially described in Fogola, Grasso, Masera and Scordino (2023,