Title: Processing various types of data on GEO and TCGA
Packaged: 2019-09-23 01:32:58 UTC; Administrator

Packaged: 2020-01-07 07:58:41 UTC; Administrator

Packaged: 2020-02-22 14:15:32 UTC; Administrator

Packaged: 2020-06-09 05:22:26 UTC; Administrator

provide us with a wealth of data, such as RNA-seq, DNA Methylation, SNP
Suggests: knitr, rmarkdown, DESeq2, S4Vectors, ChAMP, impute, tidyr,
clusterProfiler, org.Hs.eg.db, edgeR, limma, quantreg
Imports: utils, data.table, magrittr, plyr, cqn

clusterProfiler, org.Hs.eg.db, edgeR, limma, quantreg, minfi,
Imports: utils, data.table, magrittr, plyr, cqn, dplyr, topconfects

Title: User-Friendly Interface for Geographically-Weighted Models
person("Javier", "De La Hoz Maestre", , "jdelahozmaestre@gmail.com", role = c("cre", "aut"),
person("María José", "Fernández Gómez", , "mjfg@usal.es", role = "aut",
person("Susana", "Mendez", , "Susana.mendes@ipleiria.pt", role = "aut",
Maintainer: Javier De La Hoz Maestre <jdelahozmaestre@gmail.com>
Description: Contains the development of a tool that provides a web-based
graphical user interface (GUI) to perform Techniques from a subset of
spatial statistics known as geographically weighted (GW) models.
Contains methods described by Brunsdon et al., 1996
Imports: beepr, cartography, dplyr, DT, GWmodel, raster, readxl, shiny,
shinyalert, shinyBS, shinybusy, shinydashboard, shinyjs,
Suggests: knitr, rgdal, rmarkdown, spdep
Packaged: 2022-01-04 14:01:15 UTC; jdelahozmaestre
Author: Javier De La Hoz Maestre [cre, aut]

Packaged: 2022-05-11 11:32:13 UTC; jdelahozmaestre

Packaged: 2022-05-24 10:54:34 UTC; jdelahozmaestre

Title: Interactive exploratory spatial data analysis
Author: Christine Thomas-Agnan, Yves Aragon, Anne Ruiz-Gazen, Thibault Laurent, Laurianne Robidou
Depends: R (>= 2.2.1), tcltk, maptools, fields, splancs, KernSmooth, stats
Description: GeoXp is a tool for researchers in spatial statistics, spatial econometrics, geography, ecology etc allowing to link dynamically statistical plots with elementary maps. This coupling consists in the fact that the selection of a zone on the map results in the automatic highlighting of the corresponding points on the statistical graph or reversely the selection of a portion of the graph results in the automatic highlighting of the corresponding points on the map. GeoXp includes tools from different areas of spatial statistics including geostatistics as well as spatial econometrics and point processes. Besides elementary plots like boxplots, histograms or simple scatterplos, GeoXp also couples with maps Moran scatterplots, variogram cloud, Lorentz Curves,...In order to make the most of the multidimensionality of the data, GeoXp includes some dimension reduction techniques such as PCA.
Packaged: Mon Oct 23 14:14:02 2006; hornik