Packaged: 2018-08-29 12:13:52 UTC; hongyuanjia

Packaged: 2018-09-30 02:50:57 UTC; hongyuanjia

Packaged: 2018-10-11 08:55:21 UTC; hongyuanjia

Packaged: 2018-12-05 08:12:39 UTC; hongyuanjia

Title: Apply a Function Over Expressions
person(given = c("William", "Michael"), family = "Landau",
Description: Evaluate a function over a data frame of expressions.

email = "will.landau@gmail.com", role = c("aut", "cre")),

person("Pascal", "Title", email = "pascal.title@stonybrook.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6316-0736")),
person("Donald", "Swiderski", role = "aut"),
person("Miriam", "Zelditch", role = "aut"))
Imports: terra (>= 1.5.10), sf, ape, viridisLite, pbapply, methods,
Description: Facilitates the aggregation of species' geographic ranges from vector or raster spatial data, and that enables the calculation of various morphological and phylogenetic community metrics across geography.
Packaged: 2022-05-13 14:35:11 UTC; pascaltitle
Author: Pascal Title [aut, cre] (<https://orcid.org/0000-0002-6316-0736>),

Packaged: 2022-05-18 12:08:49 UTC; pascaltitle

Imports: terra (>= 1.5-21), sf, ape, viridisLite, pbapply, methods,
Description: Facilitates the aggregation of species' geographic ranges from vector or raster spatial data, and that enables the calculation of various morphological and phylogenetic community metrics across geography. Citation: Title, PO, DL Swiderski and ML Zelditch (2022) <doi:10.1111/2041-210X.13914>.
Packaged: 2022-06-22 12:39:40 UTC; pascaltitle

Packaged: 2022-08-08 19:03:54 UTC; pascaltitle

Title: EPoC (Endogenous Perturbation analysis of Cancer)
Depends: R (>= 2.10.0), lassoshooting (>= 0.1.1), Matrix
Description: Estimates sparse matrices A or G using fast lasso
regression from mRNA transcript levels Y and CNA profiles U.
Two models are provided, EPoC A where AY + U + R = 0 and EPoC G
where Y = GU + E, the matrices R and E are so far treated as
noise. For details see the reference and the manual page of

Depends: R (>= 2.10.0), lassoshooting (>= 0.1.1), Matrix, methods