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libgz-rendering8
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public |
C++ library designed to provide an abstraction for different rendering engines. It offers unified APIs for creating 3D graphics applications.
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2025-10-01 |
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gz-rendering8
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public |
C++ library designed to provide an abstraction for different rendering engines. It offers unified APIs for creating 3D graphics applications.
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2025-10-01 |
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r-spatialreg
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public |
A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep', 'sphet' and 'spse'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximum likelihood and MCMC fitting are compared by 'Bivand et al.' (2013) <doi:10.1111/gean.12008>, and model fitting methods by 'Bivand' and 'Piras' (2015) <doi:10.18637/jss.v063.i18>; both of these articles include extensive lists of references. 'spatialreg' >= 1.1-* correspond to 'spdep' >= 1.1-1, in which the model fitting functions are deprecated and pass through to 'spatialreg', but will mask those in 'spatialreg'. From versions 1.2-*, the functions will be made defunct in 'spdep'.
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2025-10-01 |
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sqlglot
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public |
An easily customizable SQL parser and transpiler
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2025-10-01 |
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sqlglot-rs
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public |
An easily customizable SQL parser and transpiler
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2025-10-01 |
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memory_graph
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public |
Visualize Python data using Graphviz.
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2025-10-01 |
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r-jskm
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public |
The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
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2025-10-01 |
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conda
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public |
OS-agnostic, system-level binary package and environment manager.
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2025-10-01 |
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r-pgirmess
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public |
Set of tools for reading, writing and transforming spatial and seasonal data in ecology, model selection and specific statistical tests. It includes functions to discretize polylines into regular point intervals, link observations to those points, compute geographical coordinates at regular intervals between waypoints, read subsets of big rasters, compute zonal statistics or table of categories within polygons or circular buffers from raster. The package also provides miscellaneous functions for model selection, spatial statistics, geometries, writing data.frame with Chinese characters, and some other functions for field ecologists.
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2025-10-01 |
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r-agricolae
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public |
Original idea was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, National Engineering University (UNI), Lima-Peru. Some experimental data for the examples come from the CIP and others research. Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster.
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2025-10-01 |
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svg.py
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public |
SVG drawing library
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2025-10-01 |
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libgdal-tiledb
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public |
Raster driver TileDB for the Geospatial Data Abstraction Library (GDAL)
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2025-10-01 |
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gdal
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public |
GDAL is a translator library for raster and vector geospatial data formats that is released under an
X/MIT style Open Source license by the Open Source Geospatial Foundation.
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2025-10-01 |
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libgdal-core-devel
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public |
GDAL is a translator library for raster and vector geospatial data formats that is released under an
X/MIT style Open Source license by the Open Source Geospatial Foundation.
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2025-10-01 |
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libgdal-pg
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public |
Vector driver PG for the Geospatial Data Abstraction Library (GDAL)
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2025-10-01 |
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libgdal-hdf5
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public |
Raster driver HDF5 for the Geospatial Data Abstraction Library (GDAL)
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2025-10-01 |
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libgdal-arrow-parquet
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public |
Arrow and Parquet drivers for the Geospatial Data Abstraction Library (GDAL)
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2025-10-01 |
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libgdal-jp2openjpeg
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public |
Raster driver JP2OpenJPEG for the Geospatial Data Abstraction Library (GDAL)
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2025-10-01 |
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libgdal-postgisraster
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public |
Raster driver PostGIS for the Geospatial Data Abstraction Library (GDAL)
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2025-10-01 |
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libgdal-netcdf
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public |
Raster driver netCDF for the Geospatial Data Abstraction Library (GDAL)
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2025-10-01 |
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libgdal-hdf4
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public |
Raster driver HDF4 for the Geospatial Data Abstraction Library (GDAL)
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2025-10-01 |
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libgdal-pdf
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public |
Raster driver PDF for the Geospatial Data Abstraction Library (GDAL)
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2025-10-01 |
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libgdal-grib
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public |
Raster driver GRIB for the Geospatial Data Abstraction Library (GDAL)
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2025-10-01 |
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libgdal-xls
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public |
Vector driver XLS for the Geospatial Data Abstraction Library (GDAL)
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2025-10-01 |
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libgdal-kea
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public |
Raster driver KEA for the Geospatial Data Abstraction Library (GDAL)
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2025-10-01 |
