bayesCT - Simulation and Analysis of Adaptive Bayesian Clinical Trials
Simulation and analysis of Bayesian adaptive clinical trials for binomial, continuous, and time-to-event data types, incorporates historical data and allows early stopping for futility or early success. The package uses novel and efficient Monte Carlo methods for estimating Bayesian posterior probabilities, evaluation of loss to follow up, and imputation of incomplete data. The package has the functionality for dynamically incorporating historical data into the analysis via the power prior or non-informative priors.
Last updated 4 years ago
adaptivebayesian-methodsbayesian-trialclinical-trialsstatistical-power
6.27 score 13 stars 36 scripts 309 downloadsLPWC - Lag Penalized Weighted Correlation for Time Series Clustering
Computes a time series distance measure for clustering based on weighted correlation and introduction of lags. The lags capture delayed responses in a time series dataset. The timepoints must be specified. T. Chandereng, A. Gitter (2020) <doi:10.1186/s12859-019-3324-1>.
Last updated 5 years ago
bioinformaticsclusteringtime-series
5.23 score 20 stars 17 scripts 185 downloads