Packaged: Sat Jan 10 20:46:20 2009; maechler

Depends: R (>= 2.5.1), SparseM,quantreg, splines,grDevices,graphics,stats,utils
Packaged: Wed Feb 25 09:40:45 2009; maechler

Depends: R (>= 2.6.2), SparseM,quantreg,
Description: Qualitatively Constrained (Regression) Smoothing via

Title: COBS -- COnstrained B-Splines (Sparse matrix based)
Description: Qualitatively Constrained (Regression) Smoothing Splines via
Imports: SparseM (>= 1.6), quantreg (>= 4.65), grDevices,graphics,stats

Title: COnstrained B-Splines (Sparse Matrix Based)
Imports: SparseM (>= 1.6), quantreg (>= 4.65),

Title: Constrained B-Splines (Sparse Matrix Based)

Imports: SparseM (>= 1.6), quantreg (>= 4.65), grDevices, graphics,

VersionNote: Released 1.3-3 on 2017-03-29

VersionNote: Released 1.3-4 on 2020-01-20

Title: Constrained B-splines -- outdated 1999 version
Author: Pin T. Ng <Pin.Ng@nau.edu> and Xuming He, U. Illinois; R port
Linear Programming. OUTDATED version based on He & Ng (1999),
the modified "non-simplex" algorithm of Bartels and Conn

(1980).  Use 'cobs' instead, unless for historical comparisons.

Programming. OUTDATED version based on He & Ng (1999), the modified
"non-simplex" algorithm of Bartels and Conn (1980).
Packaged: Mon Oct  2 09:55:27 2006; maechler

Packaged: Tue Oct  9 09:13:42 2007; maechler

Authors@R: c(person(given = "Alessandra", family = "Cabassi", email = "alessandra.cabassi@mrc-bsu.cam.ac.uk", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1605-652X")), person(given = "Paul DW", family = "Kirk", email = "paul.kirk@mrc-bsu.cam.ac.uk", role = c("ths"), comment = c(ORCID = "0000-0002-5931-7489")))
Author: Alessandra Cabassi [aut, cre] (<https://orcid.org/0000-0003-1605-652X>),
Description: Contains the R functions needed to perform Cluster-Of-Clusters Analysis (COCA)  and Consensus Clustering (CC). For further details please see Cabassi and Kirk (2019) <arXiv:1904.07701>.
Imports: stats, Matrix, cluster, RColorBrewer, caret, nnet, pheatmap,
Packaged: 2020-03-25 18:30:25 UTC; alessandracabassi

Description: Contains the R functions needed to perform Cluster-Of-Clusters Analysis (COCA)  and Consensus Clustering (CC). For further details please see Cabassi and Kirk (2020) <doi:10.1093/bioinformatics/btaa593>.
Imports: caret, cluster, fpc, glmnet, Matrix, nnet, pheatmap,
Packaged: 2020-07-06 15:09:00 UTC; alessandracabassi