Packaged: Tue Jul  5 14:01:19 2005; majap

Packaged: Fri Jan 23 12:29:32 2009; Maja

Packaged: Tue Sep  2 18:26:12 2008; Maja

Imports: animation (>= 2.6), grDevices, graphics, stats, methods
Description: Generates a number of Christmas cards, most of them being animated. The name of each card includes the year in which it was created.

Title: Generation of Different Animated Christmas Cards
Description: Generation of different Christmas cards, most of them being
animated. Most of the cards can be generated in three languages (English,
Catalan and Spanish). The collection started in 2009.

Authors@R: person("Ethan", "Bass", , "ethanbass@gmail.com", role = c("aut",
Description: Reads chromatograms from binary formats into R objects. Currently supports conversion of Agilent ChemStation '.uv' and MassHunter '.sp', files using file parsers from the 'Aston' package <https://github.com/bovee/aston>.
Config/reticulate: list( packages = list( list(package = "scipy",
"numpy", "pandas"), list(package="aston", pip = TRUE) ) )
Packaged: 2022-04-14 23:20:33 UTC; ethanbass
Author: Ethan Bass [aut, cre] (<https://orcid.org/0000-0002-6175-6739>)

Description: Reads chromatograms from binary formats into R objects. Currently supports conversion of 'Agilent ChemStation', 'Agilent MassHunter', and 'ThermoRaw' files as well as various text-based formats. Utilizes file parsers from external libraries, such as 'Aston' <https://github.com/bovee/aston>, 'Entab' <https://github.com/bovee/entab>, and 'ThermoRawFileParser' <https://github.com/compomics/ThermoRawFileParser>.
Imports: purrr, readr, readxl, reticulate, stringr, tidyr, utils,
Suggests: entab, mzR, testthat (>= 3.0.0)
Config/reticulate: list( packages = list( list(package = "scipy"),
Packaged: 2022-07-10 23:12:46 UTC; ethanbass

Title: Import and Analyze HPLC-DAD/UV Data
person("Ethan", "Bass", , "ethanbass@gmail.com", role = c("aut", "cre"),
Description: Tools for high-throughput analysis of HPLC-DAD/UV
chromatograms (or similar data). Includes functions for preprocessing, alignment,
peak-finding and fitting, peak-table construction, data-visualization, etc.
Preprocessing and peak-table construction follow the rough formula laid out
in alsace (Wehrens, R., Bloemberg, T.G., and Eilers P.H.C., 2015.
<doi:10.1093/bioinformatics/btv299>. Alignment of chromatograms is available
using parametric time warping (ptw) (Wehrens, R., Bloemberg, T.G., and Eilers
P.H.C. 2015. <doi:10.1093/bioinformatics/btv299>) or variable penalty dynamic
time warping (VPdtw) (Clifford, D., & Stone, G. 2012. <doi:10.18637/jss.v047.i08>).
Peak-finding uses the algorithm by Tom O'Haver
Peaks are then fitted to a gaussian or exponential-gaussian hybrid peak shape
using non-linear least squares (Lan, K. & Jorgenson, J. W. 2001.
<doi:10.1016/S0021-9673(01)00594-5>). See the vignette for more details and
Imports: chromConverter, dynamicTreeCut, fastcluster, graphics,
grDevices, lattice, methods, minpack.lm, parallel, ptw,
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0), VPdtw
Packaged: 2022-05-18 21:26:28 UTC; ethanbass