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Merge pull request #22 from l-ramirez-lopez/v2.0
v2.0 is now on CRAN
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@@ -1,7 +1,11 @@ | ||
^.*\.Rproj$ | ||
^\.Rproj\.user$ | ||
resemble_logo.png | ||
code_ex.R | ||
.travis.yml | ||
^packrat/ | ||
^\.Rprofile$ | ||
^cran-comments\.md$ | ||
^my-comments\.md$ | ||
logo.R | ||
^Rscript* | ||
logo_large.png |
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@@ -22,7 +22,6 @@ r_packages: | |
- covr | ||
- data.table | ||
- magrittr | ||
- dplyr | ||
- testthat | ||
|
||
after_success: | ||
|
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Package: resemble | ||
Type: Package | ||
Title: | ||
Regression and Similarity Evaluation for Memory-Based Learning in | ||
Spectral Chemometrics | ||
Title: Memory-Based Learning in Spectral Chemometrics | ||
Version: 2.0.0 | ||
Date: 2020-10-12 | ||
Authors@R: | ||
c(person(given = "Leonardo", | ||
family = "Ramirez-Lopez", | ||
role = c("aut", "cre"), | ||
email = "[email protected]", | ||
comment = c(ORCID = "0000-0002-5369-5120")), | ||
person(given = "Antoine", | ||
family = "Stevens", | ||
role = "ctb", | ||
comment = c(ORCID = "0000-0002-1588-7519")), | ||
person(given = "Raphael", | ||
family = "Viscarra Rossel", | ||
role = "ctb", | ||
comment = c(ORCID = "0000-0003-1540-4748")), | ||
person(given = "Craig", | ||
family = "Lobsey", | ||
role = "ctb", | ||
comment = c(ORCID = "0000-0001-5416-8640")), | ||
person(given = "Alex", | ||
family = "Wadoux", | ||
role = "ctb", | ||
comment = c(ORCID = "0000-0001-7325-9716")), | ||
person(given = "Timo", | ||
family = "Breure", | ||
role = "ctb", | ||
comment = c(ORCID = "0000-0001-5695-8064")) | ||
) | ||
Date: 2020-10-29 | ||
Author: Leonardo Ramirez-Lopez [aut, cre], | ||
Antoine Stevens [aut, ctb], | ||
Raphael Viscarra Rossel [ctb], | ||
Craig Lobsey [ctb], | ||
Alex Wadoux [ctb], | ||
Timo Breure [ctb] | ||
Maintainer: | ||
Leonardo Ramirez-Lopez <[email protected]> | ||
BugReports: | ||
https://github.com/l-ramirez-lopez/resemble/issues | ||
Description: | ||
Functions for spectral similarity/dissimilarity | ||
analysis and memory-based learning (MBL) for non-linear modeling | ||
in complex spectral data sets. In chemometrics MBL is also known | ||
as local modeling. | ||
Functions for dissimilarity analysis and memory-based learning | ||
(MBL, a.k.a local modeling) in complex spectral data sets. | ||
Most of these functions are based the methods presented in | ||
Ramirez-Lopez et al. (2013) <doi:10.1016/j.geoderma.2012.12.014>. | ||
License: MIT + file LICENSE | ||
URL: http://l-ramirez-lopez.github.io/resemble/ | ||
Depends: | ||
|
@@ -49,26 +26,23 @@ Imports: | |
foreach, | ||
iterators, | ||
Rcpp (>= 1.0.3), | ||
dplyr (>= 0.7.0), | ||
mathjaxr (>= 1.0), | ||
magrittr (>= 1.5.0), | ||
lifecycle (>= 0.2.0), | ||
lifecycle (>= 0.2.0), | ||
data.table (>= 1.9.8) | ||
Suggests: | ||
prospectr, | ||
parallel, | ||
doParallel, | ||
testthat, | ||
doParallel, | ||
testthat, | ||
formatR, | ||
bookdown, | ||
rmarkdown, | ||
bookdown, | ||
knitr | ||
LinkingTo: | ||
Rcpp, | ||
Rcpp, | ||
RcppArmadillo | ||
RdMacros: | ||
mathjaxr, | ||
lifecycle | ||
RdMacros: mathjaxr | ||
VignetteBuilder: knitr | ||
NeedsCompilation: yes | ||
LazyData: true | ||
|
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