Packaged: 2022-05-01 21:01:54 UTC; TylerRinker

"Kurkiewicz", role = "ctb"), person("Kirill", "M<c3><bc>ller", role = "ctb"),
Description: This package is a collection of tools associated with the qdap
package that may be useful outside of the context of text analysis.

"Kurkiewicz", role = "ctb"), person("Kirill", "Muller", role = "ctb"),

Description: A collection of tools associated with the qdap package that may be
useful outside of the context of text analysis.

Imports: chron, data.table (>= 1.9.4), RCurl, XML

"Kurkiewicz", role = "ctb"), person("Kirill", "Muller", role =
"ctb"), person("Tyler", "Rinker", email =
Imports: chron, data.table (>= 1.9.6), methods, RCurl, XML
Description: A collection of tools associated with the 'qdap' package
that may be useful outside of the context of text analysis.

person("Kirill", "Muller", role = "ctb"), person("Tyler", "Rinker", email =
Description: A collection of tools associated with the 'qdap' package that may be useful outside of the

Author: Elias Chaibub Neto <chaibub@stat.wisc.edu> and Brian S. Yandell <yandell@stat.wisc.edu>
Maintainer: Elias Chaibub Neto <chaibub@stat.wisc.edu>
Description: Infer QTL-directed Dependency Graphs for Phenotype Networks
Packaged: Mon Jul  7 14:38:35 2008; hornik

Title: Fitting a Quadrilateral Dissimilarity Model to Same-Different
Authors@R: c(person("Nora", "Umbach", role = c("aut", "cre"),
person("Florian", "Wickelmaier", role = "aut"))
Description: This package provides different specifications of a Quadrilateral
Dissimilarity Model which can be used to fit same-different judgments
in order to get a predicted matrix that satisfies regular minimality
[Colonius & Dzhafarov, 2006, Measurement and representations of
sensations, Erlbaum]. From such a matrix, Fechnerian distances can be
Packaged: 2014-10-27 13:33:02 UTC; noraumbach

Package: qfasar
Type: Package
Title: Quantitative Fatty Acid Signature Analysis in R
Version: 1.0.0
Authors@R: person("Jeffrey F.", "Bromaghin",
email = "jbromaghin@usgs.gov",
role = c("aut", "cre"))
Description: An implementation of Quantitative Fatty Acid Signature
Analysis (QFASA) in R.  QFASA is a method of estimating the diet
composition of predators.  The fundamental unit of information in
QFASA is a fatty acid signature (signature), which is a vector of
proportions describing the composition of fatty acids within lipids.
Signature data from at least one predator and from samples of all
potential prey types are required.  Calibration coefficients, which
adjust for the differential metabolism of individual fatty acids by
predators, are also required. Given those data inputs, a predator
signature is modeled as a mixture of prey signatures and its diet
estimate is obtained as the mixture that minimizes a measure of
distance between the observed and modeled signatures.  A variety of
estimation options and simulation capabilities are implemented.
Please refer to the vignette for additional details and references.
License: CC0
LazyData: TRUE
Imports: Rsolnp (>= 1.16)
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2016-08-24 21:42:58 UTC; jbromaghin
Date: 2016-07-26
NeedsCompilation: no
Author: Jeffrey F. Bromaghin [aut, cre]
Maintainer: Jeffrey F. Bromaghin <jbromaghin@usgs.gov>
Repository: CRAN
Date/Publication: 2016-08-25 10:00:58