Showing 10 of total 10 results (show query)
henrikbengtsson
matrixStats:Functions that Apply to Rows and Columns of Matrices (and to Vectors)
High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().
Maintained by Henrik Bengtsson. Last updated 3 months ago.
208 stars 18.09 score 20k scripts 2.3k dependents
haleyjeppson
ggmosaic:Mosaic Plots in the 'ggplot2' Framework
Mosaic plots in the 'ggplot2' framework. Mosaic plot functionality is provided in a single 'ggplot2' layer by calling the geom 'mosaic'.
Maintained by Haley Jeppson. Last updated 6 months ago.
167 stars 11.63 score 1.8k scripts 4 dependents
steveweston
itertools:Iterator Tools
Various tools for creating iterators, many patterned after functions in the Python itertools module, and others patterned after functions in the 'snow' package.
Maintained by Steve Weston. Last updated 11 years ago.
8.36 score 8.3k scripts 66 dependents
ropensci
rsat:Dealing with Multiplatform Satellite Images
Downloading, customizing, and processing time series of satellite images for a region of interest. 'rsat' functions allow a unified access to multispectral images from Landsat, MODIS and Sentinel repositories. 'rsat' also offers capabilities for customizing satellite images, such as tile mosaicking, image cropping and new variables computation. Finally, 'rsat' covers the processing, including cloud masking, compositing and gap-filling/smoothing time series of images (Militino et al., 2018 <doi:10.3390/rs10030398> and Militino et al., 2019 <doi:10.1109/TGRS.2019.2904193>).
Maintained by Unai Pérez - Goya. Last updated 12 months ago.
54 stars 7.45 score 52 scripts
robinhankin
mvp:Fast Symbolic Multivariate Polynomials
Fast manipulation of symbolic multivariate polynomials using the 'Map' class of the Standard Template Library. The package uses print and coercion methods from the 'mpoly' package but offers speed improvements. It is comparable in speed to the 'spray' package for sparse arrays, but retains the symbolic benefits of 'mpoly'. To cite the package in publications, use Hankin 2022 <doi:10.48550/ARXIV.2210.15991>. Uses 'disordR' discipline.
Maintained by Robin K. S. Hankin. Last updated 16 days ago.
9 stars 6.83 score 36 scripts 2 dependentsrobinhankin
spray:Sparse Arrays and Multivariate Polynomials
Sparse arrays interpreted as multivariate polynomials. Uses 'disordR' discipline (Hankin, 2022, <doi:10.48550/ARXIV.2210.03856>). To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2210.10848>.
Maintained by Robin K. S. Hankin. Last updated 2 hours ago.
2 stars 6.62 score 35 scripts 4 dependents
glenndavis52
colorSpec:Color Calculations with Emphasis on Spectral Data
Calculate with spectral properties of light sources, materials, cameras, eyes, and scanners. Build complex systems from simpler parts using a spectral product algebra. For light sources, compute CCT, CRI, SSI, and IES TM-30 reports. For object colors, compute optimal colors and Logvinenko coordinates. Work with the standard CIE illuminants and color matching functions, and read spectra from text files, including CGATS files. Estimate a spectrum from its response. A user guide and 9 vignettes are included.
Maintained by Glenn Davis. Last updated 2 months ago.
2 stars 6.34 score 73 scripts 5 dependents
bkeller2
mlmpower:Power Analysis and Data Simulation for Multilevel Models
A declarative language for specifying multilevel models, solving for population parameters based on specified variance-explained effect size measures, generating data, and conducting power analyses to determine sample size recommendations. The specification allows for any number of within-cluster effects, between-cluster effects, covariate effects at either level, and random coefficients. Moreover, the models do not assume orthogonal effects, and predictors can correlate at either level and accommodate models with multiple interaction effects.
Maintained by Brian T. Keller. Last updated 5 months ago.
3 stars 4.65 score 3 scriptsrobinhankin
multipol:Multivariate Polynomials
Various utilities to manipulate multivariate polynomials. The package is almost completely superceded by the 'spray' and 'mvp' packages, which are much more efficient.
Maintained by Robin K. S. Hankin. Last updated 2 years ago.
4.28 score 15 scripts 4 dependents
