The bezier package is a toolkit for working with Bezier curves and splines. The package provides functions for point generation, arc length estimation, degree elevation and curve fitting.

Decomposition of time series into
    trend, seasonal, and remainder components with methods for detecting and
    characterizing abrupt changes within the trend and seasonal components. 'BFAST'
    can be used to analyze different types of satellite image time series and can
    be applied to other disciplines dealing with seasonal or non-seasonal time
    series, such as hydrology, climatology, and econometrics. The algorithm can be
    extended to label detected changes with information on the parameters of the
    fitted piecewise linear models. 'BFAST' monitoring functionality is described
    in Verbesselt et al. (2010) <doi:10.1016/j.rse.2009.08.014>. 'BFAST monitor'
    provides functionality to detect disturbance in near real-time based on 'BFAST'-
    type models, and is described in Verbesselt et al. (2012) <doi:10.1016/j.rse.2012.02.022>.
    'BFAST Lite' approach is a flexible approach that handles missing data
    without interpolation, and will be described in an upcoming paper.
    Furthermore, different models can now be used to fit the
    time series data and detect structural changes (breaks).

Calculate the operating characteristics of the 
    Bayesian Optimal Interval with Back Filling Design for dose escalation
    in early-phase oncology trials.

The backfill Bayesian optimal interval design using efficacy and toxicity outcomes for 
    dose optimization (BF-BOIN-ET) design is a novel clinical trial design to allow patients to be 
    backfilled at lower doses during a dose-finding trial while prioritizing the dose-escalation 
    cohort to explore a higher dose. The advantages compared to the other designs in terms of the 
    percentage of correct optimal dose (OD) selection, reducing the sample size, and shortening the 
    duration of the trial, in various realistic setting.