atmosphere transport (SVAT) model LWF-BROOK90, written in Fortran.
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)
for model set up, execution and parallelization provides easy access to plot-level SVAT
simulations, as well as multi-run and large-scale applications.
Packaged: 2021-02-24 08:51:03 UTC; pschmidtwalter

Suggests: knitr, rmarkdown, roxygen2, testthat

Title: Exact Spike Train Inference via L0 Optimization
Authors@R: person("Sean", "Jewell", email = "swjewell@uw.edu",
Description: An implementation of algorithms described in Jewell and Witten (2017) <arXiv:1703.08644>.
Packaged: 2017-05-18 16:07:32 UTC; jewellsean

Packaged: 2017-10-18 02:24:32 UTC; jewellsean

Maintainer: Jan van der Laan <djvanderlaan@unrealizedtime.nl>
Description: 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.

Description: 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

accessed as one would an ordinary data.frame. The LaF vignette

Description: 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
Collate: 'generics.R' 'laf.R' 'laf_column.R' 'meta.R' 'open.R'