Uncertainties of Climate Projections using Smoothing Splines
foreach, doParallel, methods, stats, utils, MASS, mvtnorm,
graphics, grDevices
These functions use smoothing-splines, data augmentation and Bayesian techniques for the assessment of single-member and incomplete ensembles of climate projections.
- Cheng, C.-I. and P. L. Speckman (2012) <doi:10.1016/j.csda.2012.05.020>.
- Evin, G., B. Hingray, J. Blanchet, N. Eckert, S. Morin, and D. Verfaillie. (2019) <doi:10.1175/JCLI-D-18-0606.1>.

foreach, doParallel, stats, utils, MASS, mvtnorm, graphics,
grDevices,ggthemes,QUALYPSO
These functions use smoothing-splines for the assessment of single-member ensembles of climate projections.
- Cheng, C.-I. and P. L. Speckman (2012) <doi:10.1016/j.csda.2012.05.020>.

Non-parametric methods as local normal regression, polynomial local regression and penalized cubic B-splines regression are used to estimate quantiles curves. See Fan and Gijbels (1996) <doi:10.1201/9780203748725> and Perperoglou et al.(2019) <doi:10.1186/s12874-019-0666-3>.
c(
person("Sandie", "Ferrigno",  role = c("cre","aut"), email =  "sandie.ferrigno@univ-lorraine.fr"),
person("Dounia", "Essaket",  role = c("ctb"),
email =  "dounia.essaket@univ-lorraine.fr"),
person(c("Arthur", "Mouchot"),  role = c("ctb"),
email =  "arthur.mouchot@univ-lorraine.fr"),
person("Hugo", "Breton",  role = c("ctb"),
email =  "hugo.breton@univ-lorraine.fr"),
person("Myriam", "Maumy",  role = c("ctb"),
email =  "myriam.maumy@utt.fr"))
graphics, KernSmooth, locpol, np, quantreg, quantregGrowth,
stats
Sandie Ferrigno [cre, aut],
Dounia Essaket [ctb],
Arthur Mouchot [ctb],
Hugo Breton [ctb],
Myriam Maumy [ctb]

Streamline Descriptive Analysis of Quantitative Data Matrices
Methods which streamline the descriptive analysis of quantitative matrices.

Methods which streamline the descriptive analysis of quantitative
matrices. Matrix columns are samples while rows are features i.e. proteins, genes.
scales, gplots, RColorBrewer, pROC, caret, e1071, Matrix