Nonparametric Failure Time (NFT) Bayesian Additive Regression Trees (BART): Time-to-event Machine Learning with Heteroskedastic Bayesian Additive Regression Trees (HBART) and Low Information Omnibus (LIO) Dirichlet Process Mixtures (DPM). An NFT BART model is of the form Y = mu + f(x) + sd(x) E where functions f and sd have BART and HBART priors, respectively, while E is a nonparametric error distribution due to a DPM LIO prior hierarchy. See the following for a technical description of the model <https://www.mcw.edu/-/media/MCW/Departments/Biostatistics/tr72.pdf?la=en>.

This package implements the earthquake ground motion
prediction equations developed as part of the Next Generation
Attenuation of Ground Motions (NGA) project coordinated by the
Pacific Earthquake Engineering Research Center (PEER) in 2008.
James Kaklamanos <james.kaklamanos@tufts.edu> and Eric M.
Thompson <eric.thompson@tufts.edu>

This package implements the earthquake ground motion
prediction equations developed as part of the Next Generation
Attenuation of Ground Motions (NGA) project coordinated by the
Pacific Earthquake Engineering Research Center (PEER) in 2008.
The models implemented in this package are AS08 (Abrahamson &
Silva, 2008), BA08 (Boore & Atkinson, 2008), CB08 (Campbell &
Bozorgnia, 2008), and CY08 (Chiou & Youngs, 2008).  This
numerical implementation has been validated by comparing the
results for 128,000 test cases against the results obtained
using the Fortran implementation composed by David M. Boore and
Kenneth W. Campbell.
NGA Earthquake Ground Motion Prediction Equations

This package implements the earthquake ground motion
prediction equations developed as part of the Next Generation
Attenuation of Ground Motions (NGA) project coordinated by the
Pacific Earthquake Engineering Research Center (PEER) in 2008.
The models implemented in this package are AS08 (Abrahamson &
Silva, 2008), BA08 (Boore & Atkinson, 2008), CB08 (Campbell &
Bozorgnia, 2008), and CY08 (Chiou & Youngs, 2008).  This
numerical implementation has been validated by comparing the
results for 128,000 test cases against the results obtained
using the Fortran implementation composed by David M. Boore and
Kenneth W. Campbell. Users are encouraged to view the U.S.
Geological Survey Open-File Report entitled "Implementation of
the Next Generation Attenuation (NGA) Ground-Motion Prediction
Equations in Fortran and R," by J. Kaklamanos, D. M. Boore, E.
M. Thompson, and K. W. Campbell (2010) for further details on
these programs.