Title: Gene by Environment Interaction and Conditional Gene Tests for
Description: Does family-based gene by environment interaction tests,
joint gene, gene-environment interaction test, and a test of a
set of genes conditional on another set of genes.
Packaged: Wed Mar 11 07:56:55 2009; merlin

Description: Open-source package for computing likelihood ratios in kinship testing and human identification cases (Chernomoretz et al. (2021) <doi:10.1016/j.fsir.2020.100132>).  It relies on a Bayesian Networks framework and is particularly well suited to efficiently perform large-size queries against databases of missing individuals (Darwiche (2009) <doi:10.1017/CBO9780511811357>).
Imports: graphics, grDevices, igraph, paramlink, stats, Rsolnp

Description: Open-source package for computing likelihood ratios in kinship testing and human identification cases (Chernomoretz et al. (2021) <doi:10.1016/j.fsir.2020.100132>). It has the core function of the software GENis, developed by Fundación Sadosky. It relies on a Bayesian Networks framework and is particularly well suited to efficiently perform large-size queries against databases of missing individuals (Darwiche (2009) <doi:10.1017/CBO9780511811357>).
Imports: graphics, grDevices, igraph, stats, Rsolnp, assertthat, utils

Title: Fast Algorithms to Bootstrap ROC Curves
Authors@R: c(person("Erik", "Peter", email = "jerikpeter@googlemail.com",
Description: Implements a very fast C++ algorithm to quickly bootstrap
ROC Curves and derived performance metrics (e.g. AUC). You can also plot the
results and calculate confidence intervals.
Currently the calculation of 100000 bootstrap replicates for 500 observations

Title: Fast Algorithms to Bootstrap Receiver Operating Characteristics
receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the
curve (AUC) as well as the true and false positive rate.
You can also plot the results and calculate confidence intervals.

curve (AUC) as well as the true and false positive rate. The analysis of paired
receiver operating curves is supported as well, so that a comparison of two predictors is possible.
Depends: R (>= 3.2.2), ggplot2, methods, stats, utils