Showing 5 of total 5 results (show query)
edzer
sp:Classes and Methods for Spatial Data
Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc. From this version, 'rgdal', 'maptools', and 'rgeos' are no longer used at all, see <https://r-spatial.org/r/2023/05/15/evolution4.html> for details.
Maintained by Edzer Pebesma. Last updated 2 months ago.
128 stars 18.61 score 35k scripts 1.4k dependents
rspatial
raster:Geographic Data Analysis and Modeling
Reading, writing, manipulating, analyzing and modeling of spatial data. This package has been superseded by the "terra" package <https://CRAN.R-project.org/package=terra>.
Maintained by Robert J. Hijmans. Last updated 5 days ago.
163 stars 17.23 score 58k scripts 562 dependents
bioc
SWATH2stats:Transform and Filter SWATH Data for Statistical Packages
This package is intended to transform SWATH data from the OpenSWATH software into a format readable by other statistics packages while performing filtering, annotation and FDR estimation.
Maintained by Peter Blattmann. Last updated 5 months ago.
proteomicsannotationexperimentaldesignpreprocessingmassspectrometryimmunooncology
1 stars 6.30 score 22 scripts
cran
DisaggregateTS:High-Dimensional Temporal Disaggregation
Provides tools for temporal disaggregation, including: (1) High-dimensional and low-dimensional series generation for simulation studies; (2) A toolkit for temporal disaggregation and benchmarking using low-dimensional indicator series as proposed by Dagum and Cholette (2006, ISBN:978-0-387-35439-2); (3) Novel techniques by Mosley, Gibberd, and Eckley (2022, <doi:10.1111/rssa.12952>) for disaggregating low-frequency series in the presence of high-dimensional indicator matrices.
Maintained by Kaveh Salehzadeh Nobari. Last updated 5 months ago.
2.00 score
mosleyl
TSdisaggregation:High-Dimensional Temporal Disaggregation
First - Generates (potentially high-dimensional) high-frequency and low-frequency series for simulation studies in temporal disaggregation; Second - a toolkit utilizing temporal disaggregation and benchmarking techniques with a low-dimensional matrix of indicator series previously proposed in Dagum and Cholette (2006, ISBN:978-0-387-35439-2) ; and Third - novel techniques proposed by Mosley, Gibberd and Eckley (2021) <arXiv:2108.05783> for disaggregating low-frequency series in the presence of high-dimensional indicator matrices.
Maintained by Luke Mosley. Last updated 3 years ago.
1.00 score