Title: A Minimalistic package to apply Gaussian Process in R
Description: This package provides a minimalistic functionality necessary to apply Gaussian Process in R. They provide a selection of functionalities of GPML Matlab library.

X-CRAN-Comment: Orphaned on 2014-02-07 as the maintainer could not

Title: Interface to the 'g:Profiler' Toolset
Author: Liis Kolberg <liis.kolberg@ut.ee>, Uku Raudvere <uku.raudvere@ut.ee>
Description: A toolset for functional enrichment analysis and visualization, gene/protein/SNP identifier conversion and mapping orthologous genes across species via 'g:Profiler' (<https://biit.cs.ut.ee/gprofiler>).
(1) 'g:GOSt' - functional enrichment analysis and visualization of gene lists;
(2) 'g:Convert' - gene/protein/transcript identifier conversion across various namespaces;
(3) 'g:Orth' - orthology search across species;
(4) 'g:SNPense' - mapping SNP rs identifiers to chromosome positions, genes and variant effects
This package is an R interface corresponding to the 2019 update of 'g:Profiler' and provides access to 'g:Profiler' for versions 'e94_eg41_p11' and higher. See the package 'gProfileR' for accessing older versions from the 'g:Profiler' toolset.
Imports: jsonlite, RCurl, ggplot2, plotly, tidyr, crosstalk, plyr,
grDevices, gridExtra, grid, viridisLite, dplyr

Imports: jsonlite, RCurl, ggplot2, plotly, tidyr, crosstalk, grDevices,

Imports: jsonlite, RCurl, ggplot2, plotly, tidyr (>= 1.0.0), crosstalk,

Description: A toolset for functional enrichment analysis and visualization, gene/protein/SNP identifier conversion and mapping orthologous genes across species via 'g:Profiler' (<https://biit.cs.ut.ee/gprofiler/>).
(4) 'g:SNPense' - mapping SNP rs identifiers to chromosome positions, genes and variant effects.

Authors@R: c(person("Zheyuan", "Li", role = c("aut", "cre"),
Author: Zheyuan Li [aut, cre] (<https://orcid.org/0000-0002-7434-5947>)
Imports: stats, splines, Matrix, methods, graphics, grDevices
Description: Routines to construct general P-splines for non-uniform B-splines on arbitrary knots, proposed by Li and Cao (2022) <arXiv:2201.06808>. This P-spline variant extends the standard P-splines of Eilers and Marx (1996) <doi:10.1214/ss/1038425655> that are tailored for uniform B-splines on equidistant knots. Includes SparseD() for computing general difference matrices, SparseS() for computing derivative penalty matrix or its sparse root using a sandwich formula, etc. Also includes several demos on B-splines and P-splines. Aims to facilitate other packages to implement general P-splines as a smoothing tool in their model estimation framework.