Title: g-and-k and g-and-h Distribution Functions
Description: Functions for the g-and-k and generalised g-and-h distributions.
Authors@R: person("Dennis", "Prangle", email="dennis.prangle@gmail.com", role=c("aut","cre","cph"))

Imports: Ecdat, lubridate, progress, grDevices, graphics, stats

Title: Accessing the Official 'Google Knowledge Graph' API
Description: A simple way to interact with and extract data from
the official 'Google Knowledge Graph' API <https://developers.google.com/knowledge-graph/>.
Author: Ricardo Correia [aut, cre] (<https://orcid.org/0000-0001-7359-9091>)

Title: Gapped-Kmer Support Vector Machine
Description: Imports the 'gkmSVM' v2.0 functionalities into R (www.beerlab.org/gkmsvm). It also uses the 'kernlab' library (separate R package by different authors) for various SVM algorithms.

Imports: Rcpp, kernlab, seqinr, utils, ROCR

Imports: Rcpp, kernlab, seqinr, utils, ROCR, grDevices, graphics,

Description: Imports the 'gkmSVM' v2.0 functionalities into R <http://www.beerlab.org/gkmsvm/>
It also uses the 'kernlab' library (separate R package by different authors) for various SVM algorithms.
Imports: kernlab, seqinr, utils, ROCR, BiocGenerics, IRanges,
S4Vectors, Rcpp, grDevices, graphics, stats, Biostrings,

Users should note that the suggested packages 'rtracklayer', 'GenomicRanges', 'BSgenome', 'BiocGenerics',
'Biostrings', 'GenomeInfoDb', 'IRanges', and 'S4Vectors' are all BioConductor packages <https://bioconductor.org>.
Imports: kernlab, seqinr, utils, ROCR, Rcpp, grDevices, graphics, stats

Title: Glacier Surface Mass Balance Model
Author: Alexander R. Groos [cre, aut], Christoph Mayer [ctb]
Maintainer: Alexander R. Groos <alexander.groos@giub.unibe.ch>
Description: A fully distributed glacier surface mass balance model developed for the simulation of accumulation and ablation processes on debris-free as well as debris-covered glaciers.
Depends: R (>= 2.10), methods, raster, sp, udunits2
Packaged: 2017-09-28 11:34:38 UTC; alexandergroos

Title: Lasso Penalization in Large Scale Generalized Linear Array
Description: Efficient design matrix free procedure for Lasso regularized estimation in large scale 3-dimensional generalized linear array models. The Gaussian model with identity link, the Binomial model with logit link, the Poisson model with log link and the Gamma model with log link is currently implemented.