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argocd-cli
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public |
Declarative Continuous Deployment for Kubernetes
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2025-09-30 |
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r-sftime
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public |
Classes and methods for spatial objects that have a registered time column, in particular for irregular spatiotemporal data. The time column can be of any type, but needs to be ordinal. Regularly laid out spatiotemporal data (vector or raster data cubes) are handled by package 'stars'.
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2025-09-30 |
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r-backbone
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public |
Provides methods for extracting from a weighted graph a binary or signed backbone that retains only the significant edges. The user may input a weighted graph, or a bipartite graph from which a weighted graph is first constructed via projection. Backbone extraction methods include the stochastic degree sequence model (SDSM; Neal, Z. P. (2014). <doi:10.1016/j.socnet.2014.06.001>), the fixed degree sequence model (FDSM; Zweig, K. A., and Kaufmann, M. (2011). <doi:10.1007/s13278-011-0021-0>), the fixed row model (FRM; Neal, Z. P. (2013). <doi:10.1007/s13278-013-0107-y>), the fixed column model (FCM; Neal, Domagalski, and Sagan (2021). <arXiv:2105.13396>), the fixed fill model (FFM; Neal, Domagalski, and Sagan (2021). <arXiv:2105.13396>), and a universal threshold method.
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2025-09-30 |
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r-stars
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public |
Reading, manipulating, writing and plotting spatiotemporal arrays (raster and vector data cubes) in 'R', using 'GDAL' bindings provided by 'sf', and 'NetCDF' bindings by 'ncmeta' and 'RNetCDF'.
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2025-09-30 |
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llvm-openmp-fortran
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public |
The OpenMP API supports multi-platform shared-memory parallel programming in C/C++ and Fortran.
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2025-09-30 |
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llvm-openmp
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public |
The OpenMP API supports multi-platform shared-memory parallel programming in C/C++ and Fortran.
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2025-09-30 |
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pesummary
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public |
Python package to produce summary pages for Parameter estimation codes
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2025-09-30 |
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r-zigg
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public |
The 'Ziggurat' pseudo-random number generator (or PRNG), introduced by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>) and further improved by Leong et al (2005, <doi:10.18637/jss.v012.i07>), offers a lightweight and very fast PRNG for the normal, exponential, and uniform distributions. It is provided here in a small zero-dependency package. It can be used from R as well as from 'C/C++' code in other packages as is demonstrated by four included sample packages using four distinct methods to use the PRNG presented here in client package. The implementation is influenced by our package 'RcppZiggurat' which offers a comparison among multiple alternative implementations but presented here in a lighter-weight implementation that is easier to use by other packages. The PRNGs provided are generally faster than the ones in base R: on our machine, the relative gains for normal, exponential and uniform are on the order of 7.4, 5.2 and 4.7 times faster than base R. However, these generators are of potentially lesser quality and shorter period so if in doubt use of the base R functions remains the general recommendation.
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2025-09-30 |
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r-rxode2ll
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public |
Provides the log-likelihoods with gradients from 'stan' (Carpenter et al (2015), <arXiv:1509.07164>) needed for generalized log-likelihood estimation in 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). This is split of to reduce computational burden of recompiling 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) which runs the 'nlmixr2' models during estimation.
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2025-09-30 |
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sphinx_parser
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public |
Parser for the DFT program SPHInX
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2025-09-30 |
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r-ggmulti
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public |
It provides materials (i.e. 'serial axes' objects, Andrew's plot, various glyphs for scatter plot) to visualize high dimensional data.
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2025-09-30 |
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compiler-rt
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public |
compiler-rt runtime libraries
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2025-09-30 |
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compiler-rt_osx-64
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public |
compiler-rt runtime libraries
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2025-09-30 |
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girder-client
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public |
Python client for interacting with Girder servers
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2025-09-30 |
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r-openmx
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public |
Facilitates treatment of statistical model specifications as things that can be generated and manipulated programmatically. Structural equation models may be specified with reticular action model matrices or paths, linear structural relations matrices or paths, or directly in matrix algebra. Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares. Example models include confirmatory factor, multiple group, mixture distribution, categorical threshold, modern test theory, differential equations, state space, and many others. MacOS users can download the most up-to-date package binaries from <http://openmx.ssri.psu.edu>. See Neale, Hunter, Pritikin, Zahery, Brick, Kirkpatrick, Estabrook, Bates, Maes, & Boker (2016) <doi:10.1007/s11336-014-9435-8>.
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2025-09-30 |
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compiler-rt_osx-arm64
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public |
compiler-rt runtime libraries
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2025-09-30 |
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compiler-rt_win-64
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public |
compiler-rt runtime libraries
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2025-09-30 |
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r-gdalcubes
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public |
Processing collections of Earth observation images as on-demand multispectral, multitemporal raster data cubes. Users define cubes by spatiotemporal extent, resolution, and spatial reference system and let 'gdalcubes' automatically apply cropping, reprojection, and resampling using the 'Geospatial Data Abstraction Library' ('GDAL'). Implemented functions on data cubes include reduction over space and time, applying arithmetic expressions on pixel band values, moving window aggregates over time, filtering by space, time, bands, and predicates on pixel values, exporting data cubes as 'netCDF' or 'GeoTIFF' files, and plotting. The package implements lazy evaluation and multithreading. All computational parts are implemented in C++, linking to the 'GDAL', 'netCDF', 'CURL', and 'SQLite' libraries. See Appel and Pebesma (2019) <doi:10.3390/data4030092> for further details.
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2025-09-30 |
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compiler-rt_linux-aarch64
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public |
compiler-rt runtime libraries
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2025-09-30 |
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r-lambertw
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public |
Lambert W x F distributions are a generalized framework to analyze skewed, heavy-tailed data. It is based on an input/output system, where the output random variable (RV) Y is a non-linearly transformed version of an input RV X ~ F with similar properties as X, but slightly skewed (heavy-tailed). The transformed RV Y has a Lambert W x F distribution. This package contains functions to model and analyze skewed, heavy-tailed data the Lambert Way: simulate random samples, estimate parameters, compute quantiles, and plot/ print results nicely. Probably the most important function is 'Gaussianize', which works similarly to 'scale', but actually makes the data Gaussian. A do-it-yourself toolkit allows users to define their own Lambert W x 'MyFavoriteDistribution' and use it in their analysis right away.
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2025-09-30 |
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compiler-rt_linux-64
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public |
compiler-rt runtime libraries
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2025-09-30 |
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compiler-rt_linux-ppc64le
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public |
compiler-rt runtime libraries
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2025-09-30 |
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lsst-ts-xml
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public |
Contains XML files used to generate SAL data.
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2025-09-30 |
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r-rlumshiny
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public |
A collection of 'shiny' applications for the R package 'Luminescence'. These mainly, but not exclusively, include applications for plotting chronometric data from e.g. luminescence or radiocarbon dating. It further provides access to bootstraps tooltip and popover functionality and contains the 'jscolor.js' library with a custom 'shiny' output binding.
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2025-09-30 |
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rp2paths
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public |
RetroPath2.0 to pathways
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2025-09-30 |
