Title: Bayesian Single Arm Sample Size Calculation Software
Description: Frequentist and Bayesian single arm trial design and sample size software.
Designs cover one and two binary endpoints with both single and multi-stage
methodology. The research leading to these results has received funding from the
European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement
Depends: shiny, VGAM, data.table, plyr, methods, clinfun

Description: Bayesian sample size calculation software and examples for EuroSARC
clinical trials which utilise Bayesian methodology. These trials rely on
binomial based endpoints so the majority of programs found here relate to this
sort of endpoint. Developed as part of the EuroSARC FP7 grant.

Description: Package for combining pieces of evidence

Description: Combine pieces of evidence in the form of uncertainty representations.

Title: EvCombR - Evidence Combination in R

Title: Evaluation Clustering Methods for Disease Subtypes Diagnosis
Author: Fahimeh Nezhadmoghadam,Jose Gerardo Tamez-Pena
Description: Contains a set of clustering methods and evaluation metrics to select the best number of the clusters based on clustering stability. Two references describe the methodology: Fahimeh Nezhadmoghadam, and Jose Tamez-Pena (2021)<doi:10.1016/j.compbiomed.2021.104753>, and Fahimeh Nezhadmoghadam, et al.(2021)<doi:10.2174/1567205018666210831145825>.

Title: Dynamic Systems Estimation - extensions
Description: Multivariate Time Series - extensions.See ?00dse-Intro for

Description: EvalEst provides functions for evalating (time series)
model estimation methods. These facilitate monte carlo
experiments of repeated simulations and estimations. The
package also provides methods for looking at the distribution
of the results from these experiments, including model roots
(which are an equivalence class invariant).

Description: EvalEst provides functions for evalating (time series) model
estimation methods. These facilitate monte carlo experiments of repeated
simulations and estimations. The package also provides methods for
looking at the distribution of the results from these experiments,
including model roots (which are an equivalence class invariant).