Maria Xose Rodriguez-Alvarez mxrodriguez@bcamath.org

Maria Xose Rodriguez-Alvarez mxrodriguez@bcamath.org

4 packages on CRAN

AROC

cran
99.99th

Percentile

Estimates the covariate-adjusted Receiver Operating Characteristic (AROC) curve and pooled (unadjusted) ROC curve by different methods. Inacio de Carvalho, V., and Rodriguez-Alvarez, M. X. (2018) <arXiv:1806.00473>.

99.99th

Percentile

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

SpATS

cran
99.99th

Percentile

Analysis of field trial experiments by modelling spatial trends using two-dimensional Penalised spline (P-spline) models.

HDCurves

cran
99.99th

Percentile

A procedure that fits derivative curves based on a sequence of quotient differences. In a hierarchical setting the package produces estimates of subject-specific and group-specific derivative curves. In a non-hierarchical setting the package produces a single derivative curve.