Streamlining spectral data processing and modeling for spectroscopy applications
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

27 lines
666 B

Package: simplerspec
Type: Package
Title: Soil and plant spectroscopic model building and prediction
Depends: R (>= 3.2)
Imports:
ggplot2 (>= 2.0.0),
plyr,
data.table,
reshape2,
mvoutlier,
hexView,
Rcpp,
hyperSpec,
prospectr,
dplyr,
caret,
tidyr
Version: 0.1.0
Authors@R: person("Philipp", "Baumann",
email = "baumanph@student.ethz.ch", role = c("aut", "cre"))
Description: Functions that cover
reading of spectral data, outlier removal,
spectral preprocessing, calibration sampling, PLS regression
using caret, and model diagnostic statistics and plots.
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1