From 282820693c62b958e12104f4bb6229c04803f098 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 1 Mar 2018 10:32:08 +0100 Subject: Add a README.html for cgit.jrwb.de --- README.html | 176 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 176 insertions(+) create mode 100644 README.html (limited to 'README.html') diff --git a/README.html b/README.html new file mode 100644 index 0000000..026f011 --- /dev/null +++ b/README.html @@ -0,0 +1,176 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+

pfm

+

The R package pfm provides some utilities for fate modelling, including dealing with FOCUS pesticide fate modelling tools, (currently only TOXSWA cwa and out files), made available under the GNU public license. This means:

+
This program is free software: you can redistribute it and/or modify it under
+the terms of the GNU General Public License as published by the Free Software
+Foundation, either version 3 of the License, or (at your option) any later
+version.
+
+This program is distributed in the hope that it will be useful, but WITHOUT
+ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more
+details.
+
+You should have received a copy of the GNU General Public License along with
+this program. If not, see <http://www.gnu.org/licenses/>
+
+

Installation

+

You can install the package from github, e.g. using the devtools package. Using quick = TRUE skips docs, multiple-architecture builds, demos, and vignettes, to make installation as fast and painless as possible.

+
library(devtools)
+install_github("jranke/pfm", quick = TRUE)
+
+
+

Use

+

Please refer to the reference.

+
+
+

Examples

+

One recent nice example of the usage of this package is the visualisation of a time weighted average for a sawtooth curve obtained from several overlays of mkinfit predictions as shown here.

+

Another, even more recent example shows how FOCUS PELMO can be run in parallel under Linux as shown here.

+
+
+ + + + +
+ + + + + + -- cgit v1.2.1