Provides a flexible and easy-to use interface for the soil vegetation
atmosphere transport (SVAT) model LWF-BROOK90, written in Fortran.
The model simulates daily transpiration, interception, soil and snow evaporation,
streamflow and soil water fluxes through a soil profile covered with vegetation,
as described in Hammel & Kennel (2001, ISBN:978-3-933506-16-0) and Federer et al. (2003)
<doi:10.1175/1525-7541(2003)004%3C1276:SOAETS%3E2.0.CO;2>. A set of high-level functions
for model set up, execution and parallelization provides easy access to plot-level SVAT
simulations, as well as multi-run and large-scale applications.

Exact Spike Train Inference via L0 Optimization
person("Sean", "Jewell", email = "swjewell@uw.edu",
role = c("aut", "cre"))
An implementation of algorithms described in Jewell and Witten (2017) <arXiv:1703.08644>.

Jan van der Laan <djvanderlaan@unrealizedtime.nl>
The LaF package provides methods for fast access to large
ASCII files.  Currently the following file formats are
supported: comma separated format (csv) and fixed width format.
It is assumed that the files are too large to fit into memory,
although the package can also be used to efficiently access
files that do fit into memory. Methods are provided to access
and process files blockwise. Furthermore, an opened file can be
accessed as one would an ordinary data.frame. The LaF vingette
gives an overview of the functionality provided.

The LaF package provides methods for fast access to large ASCII
files.  Currently the following file formats are supported: comma separated
format (csv) and fixed width format. It is assumed that the files are too
large to fit into memory, although the package can also be used to
efficiently access files that do fit into memory. Methods are provided to
access and process files blockwise. Furthermore, an opened file can be
accessed as one would an ordinary data.frame. The LaF vignette gives an
overview of the functionality provided.

The LaF package provides methods for fast access to large
ASCII files.  Currently the following file formats are
supported: comma separated format (csv) and fixed width format.
It is assumed that the files are too large to fit into memory,
although the package can also be used to efficiently access
files that do fit into memory. Methods are provided to access
and process files blockwise. Furthermore, an opened file can be
accessed as one would an ordinary data.frame. The LaF vignette
gives an overview of the functionality provided.