This package provide an easy way to produce atmospheric profiles of Pressure,
Temperature and Density according to the standard atmosphere 1976.
It provides also profiles of molecular volume backscatter coefficients for standard atmosphere,
and approximated estimations of sunset, sunrise and solar zenith angle.

c(person("Matias", "Salibian-Barrera", role = c("cre"), email = "matias@stat.ubc.ca"),
person("Alejandra", "Martinez", role=c("aut"), email="ale_m_martinez@hotmail.com")
)
A robust backfitting algorithm for additive models based on (robust) local polynomial
kernel smoothers. It includes both bounded and re-descending (kernel) M-estimators, and
it computes predictions for points outside the training set if desired. See
Boente, Martinez and Salibian-Barrera (2017) <doi:10.1080/10485252.2017.1369077> for
details.
Matias Salibian-Barrera [cre],
Alejandra Martinez [aut]

c(person("Matias", "Salibian-Barrera", role = c("aut", "cre"), email = "matias@stat.ubc.ca"),
person("Alejandra", "Martinez", role=c("aut"), email="ale_m_martinez@hotmail.com")
)
Matias Salibian-Barrera [aut, cre],
Alejandra Martinez [aut]

A robust backfitting algorithm for additive models based on (robust) local polynomial
kernel smoothers. It includes both bounded and re-descending (kernel) M-estimators, and
it computes predictions for points outside the training set if desired. See
Boente, Martinez and Salibian-Barrera (2017) <doi:10.1080/10485252.2017.1369077> and
Martinez and Salibian-Barrera (2021) <doi:10.21105/joss.02992> for details.

Vince Carey <stvjc@channing.harvard.edu>, Li Long
<lilong@isb-sib.ch>, R. Gentleman
demo of interface with full copy of all hpp defining boost

A fairly extensive and comprehensive interface to the graph
algorithms contained in the BOOST library.

Vince Carey <stvjc@channing.harvard.edu>, Li Long
<li.long@isb-sib.ch>, R. Gentleman

A fairly extensive and comprehensive interface to the
graph algorithms contained in the BOOST library.

The Biological Magnetic Resonance Data Bank (BMRB,<http://www.bmrb.wisc.edu/>) collects, annotates, archives, and disseminates (worldwide in the public domain) the important spectral and quantitative data derived from NMR(Nuclear Magnetic Resonance) spectroscopic investigations of biological macromolecules and metabolites. This package provides an interface to BMRB database for easy data access and includes a minimal set of data visualization functions. Users are encouraged to make their own data visualizations using BMRB data.