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Applied Statistics

npROCRegression: Kernel-Based Nonparametric ROC Regression Modelling

Implements several nonparametric regression approaches for the inclusion of covariate information on the receiver operating characteristic (ROC) framework.

Download from:
https://CRAN.R-project.org/package=npROCRegression

PROreg: Patient Reported Outcomes Regression Analysis

Offers a variety of tools, such as specific plots and regression model approaches, for analyzing different patient reported questionnaires. Especially, mixed-effects models based on the beta-binomial distribution are implemented to deal with binomial data with over-dispersion (see Najera-Zuloaga J., Lee D.-J. and Arostegui I. (2017).

Download from:
https://cran.r-project.org/package=PROreg

SpATS: Spatial Analysis of Field Trials with Splines

Allows for the use of two-dimensional (2D) penalised splines (P-splines) in the context of agricultural field trials. Traditionally, the modelling of the spatial or environmental effect in the expression of phenotypes has been done assuming correlated random noise (Gilmour et al, 1997). We, however, propose to model the spatial variation explicitly using 2D P-splines (Rodriguez-Alvarez et al., 2016; arXiv:1607.08255). Besides the existence of fast and stable algorithms for estimation (Rodriguez-Alvarez et al., 2015; Lee et al., 2013), the direct and nice interpretation of the spatial trend that this approach provides makes it attractive for the analysis of field experiments.

Download from:
https://CRAN.R-project.org/package=SpATS

Eusko Jaurlaritza - Gobierno Vasco ikerbasque - Basque Foundation for Science Bizkaia xede. Bizkaiko Foru Aldundia innobasque - Agencia vasca de la innovación Universidad del PaÌs Vasco (UPV/EHU)