Title: Neighborhood Bootstrap Method for RDS
Author: Mamadou Yauck [aut, cre], Erica E. M. Moodie [aut]
Description: A bootstrap method for Respondent-Driven Sampling (RDS) that relies on the underlying structure of the RDS network to estimate uncertainty.
Imports: magrittr, RDStreeboot, igraph, RDS, dplyr
Packaged: 2020-09-11 14:41:36 UTC; Utilisateur

Imports: RDStreeboot, igraph, RDS, dplyr

Title: Implementation of the Nemenyi post-hoc test to find the groups
of data that differ after a statistical test of multiple
comparisons, e.g. Friedman test. Reference: Japkowicz/Shah
(2011), Evaluating Learning Algorithms. Pages 255 ff.
Description: Takes a matrix with performance measures for multiple entities (columns) over multiple domains (rows). Calculates Friedman-like ranks of the entities per domain. Sums the ranks of each classifier over all domains. Calculates the pairwise difference between the summed ranks, representing the Nemenyi-value. Looks up the corresponding p-value from the studentized range (q)-distribution.
Packaged: 2014-05-09 08:43:55 UTC; worldwindow

Packaged: 2014-07-14 10:19:36 UTC; worldwindow

Description: Takes a matrix with samples (rows) for multiple groups (columns). Calculates Friedman-like ranks of the groups per row. Sums the ranks of each group over all samples. Calculates the pairwise difference between the summed ranks, representing the Nemenyi-value. Looks up the corresponding p-value from the studentized range (q)-distribution.
Packaged: 2014-08-18 16:15:47 UTC; worldwindow

Title: Single Reader Between-Cases AUC Estimator in Nested Data
Description: This R package provides a calculation of between-cases AUC estimate, corresponding covariance, and variance estimate in the nested data problem.  Also, the package has the function to simulate the nested data. The calculated between-cases AUC estimate is used to evaluate the reader's diagnostic performance in clinical tasks with nested data. For more details on the above methods, please refer to the paper by H Du, S Wen, Y Guo, F Jin, BD Gallas (2022) <doi:10.1177/09622802221111539>.
Imports: magrittr, dplyr, mvtnorm, iMRMC, Rcpp
Author: Hongfei Du [aut, cre] (<https://orcid.org/0000-0002-0633-594X>)