Author: Giles Hooker <gjh27@cornell.edu> Luo Xiao <lx42@cornell.edu>
Depends: R (>= 2.4.0), fda, MASS, odesolve, Matrix, SparseM
Description: These functions implement collocation-inference for
continuous-time and discrete-time stochastic processes. They
provide model-based smoothing, gradient-matching, generalized

Title: Collocation Inference for Dynamic Systems
Author: Giles Hooker <gjh27@cornell.edu>, Luo Xiao <lx42@cornell.edu>,
profiling and forwards prediction error methods.

Depends: R (>= 2.4.0), fda, MASS, odesolve, Matrix, spam
Suggests: subplex, trust, maxLik, pomp, SparseM

Depends: R (>= 2.4.0), fda, MASS, deSolve, Matrix, spam
continuous-time and discrete-time stochastic processes.  They

Description: These functions implement collocation-inference
for continuous-time and discrete-time stochastic processes.
They provide model-based smoothing, gradient-matching,
generalized profiling and forwards prediction error methods.

Imports: MASS, Matrix, spam, deSolve, methods
Suggests: pomp, SparseM, subplex, trust, maxLik

person(given="Marco", family="Sánchez Beeckman", role=c("aut", "cre"), email="msanchezb3@gmail.com")
Description: A tool for transforming coordinates in a color space to common
color names using data from the Royal Horticultural Society and the
International Union for the Protection of New Varieties of Plants.
Imports: magrittr, dplyr, rlang, purrr, grDevices
Suggests: tibble, testthat (>= 3.0.0), ggplot2, RColorBrewer
Author: Marco Sánchez Beeckman [aut, cre]
Maintainer: Marco Sánchez Beeckman <msanchezb3@gmail.com>

Authors@R: person("Carl", "Ambroselli", email = "colorpalette@carl-ambroselli.de", role = c("aut", "cre"))
Description: Different methods to generate a color palette based on a specified base color and a number of colors that should be created.

Title: Computational Methods for Immune Cell-Type Subsets
Description: Provided are Computational methods for Immune Cell-type Subsets, including:(1) DCQ (Digital Cell Quantifier) to infer global dynamic changes in immune cell quantities within a complex tissue; and (2) VoCAL (Variation of Cell-type Abundance Loci) a deconvolution-based method that utilizes transcriptome data to infer the quantities of immune-cell types, and then uses these quantitative traits to uncover the underlying DNA loci.
Authors@R: c(person("Yael", "Steuerman", email = "yaelsteu@mail.tau.ac.il", role = c("aut", "cre")), person("Irit", "Gat-Viks", email = "iritgv@post.tau.ac.il", role = "aut"))