Title: Stellar CharactEristics Pisa Estimation gRid
Authors@R: c(person("Matteo", "Dell'Omodarme", role = c("aut", "cre"),
email = "mattdell@fastmail.fm"), person("Giada", "Valle", role
Description: A package to estimate stellar mass and radius given
observational data of effective temperature, [Fe/H], and
astroseismic parameters. The results are obtained adopting a
maximum likelihood technique over a grid of computed stellar
Author: Matteo Dell'Omodarme [aut, cre], Giada Valle [aut]

Authors@R: c(person("Matteo", "Dell'Omodarme", role = c("aut", "cre"), email
Description: SCEPtER pipeline for estimating the stellar age, mass, and radius
effective temperature, [Fe/H], and astroseismic
parameters. The results are obtained adopting a maximum likelihood
technique over a grid of pre-computed stellar models.
Author: Matteo Dell'Omodarme [aut, cre],

Description: A pipeline for estimating the stellar
age, mass, and radius given observational
technique over a grid of pre-computed stellar models, as

Title: Stellar CharactEristics Pisa Estimation gRid for Binary Systems
Description: SCEPtER pipeline for estimating the stellar age for double-lined detached binary systems. The observational constraints adopted in the recovery are the effective temperature, the metallicity [Fe/H], the mass, and the radius of the two stars. The results are obtained adopting a maximum likelihood technique over a grid of pre-computed stellar models.
Depends: R (>= 2.10), MASS, parallel, SCEPtER

Description: Grid of stellar models computed with various initial
helium abundances and different mixing-length values.

Title: Single Cell Entropy Analysis of Gene Heterogeneity in Cell
Description: Analyse single cell RNA sequencing data using entropy to
calculate heterogeneity and homogeneity of genes amongst the cell
population. From the work of Michael J. Casey, Ruben J. Sanchez-Garcia
Author: Hugh Warden [aut, cre] (<https://orcid.org/0000-0002-4308-7316>)

Title: Supervised Component Generalized Linear Regression (SCGLR)
Author: Mortier F., Trottier C., Cornu G., Bry X.
Contact: F. mortier <fmortier@cirad.fr> and G. Cornu <gcornu@cirad.fr>
Description: SCGLR extends the Fisher Scoring Algorithm so as to combine PLS
regression with GLM estimation in the multivariate context.
Collate: 'data.r' 'f2x.r' 'scglr.r' 'utils.r' 'plot.r' 'kComponents.r'