| Favorites | Downloads | Artifact (owner / artifact) | Platforms |
|---|---|---|---|
| 1 | 84 |
merv / r-scutrboot 0.3.0A set of bootstrap-based statistical methods for analyzing 3\' UTR quantification data derived from single-cell RNA-sequencing.
conda
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linux-64 noarch osx-64 |
| 1 | 20596 |
conda-forge / r-glpkapi 1.3.4R Interface to C API of GLPK, depends on GLPK Version >= 4.42.copy
conda
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linux-64 osx-64 win-64 |
| 1 | 20618 |
conda-forge / conda-ecosystem-user-package-isolation 1.0Prevent python and R from searching for packages outside of the current environment
conda
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linux-64 linux-aarch64 linux-ppc64le osx-64 osx-arm64 win-64 |
| 1 | 22415 |
conda-forge / r-rglpk 0.6_5.1R interface to the GNU Linear Programming Kit. 'GLPK' is open source software for solving large-scale linear programming (LP), mixed integer linear programming ('MILP') and other related problems.copy
conda
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linux-64 osx-64 win-64 |
| 1 | 30406 |
conda-forge / tsl_robin_map 1.3.0C++ fast hash map and hash set using robin hood hashingcopy
conda
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linux-64 linux-aarch64 linux-ppc64le osx-64 osx-arm64 win-64 |
| 1 | 39750 |
bioconda / wiggletools 1.2.11The WiggleTools package allows genomewide data files to be manipulated as numerical functions, equipped with all the standard functional analysis operators (sum, product, product by a scalar, comparators), and derived statistics (mean, median, variance, stddev, t-test, Wilcoxon's rank sum test, etc).
conda
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linux-64 linux-aarch64 osx-64 |
| 1 | 42694 |
conda-forge / r-spatialreg 1.2_3A 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'.copy
conda
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linux-64 osx-64 win-64 |
| 1 | 124571 |
conda-forge / pymde 0.1.18Minimum-Distortion Embeddingcopy
conda
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linux-64 osx-64 osx-arm64 |
| 1 | 189698 |
conda-forge / pandoc-crossref 0.3.17.1Pandoc filter for cross-referencescopy
conda
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linux-64 osx-64 osx-arm64 win-64 |
| 1 | 895982 |
conda-forge / audioread 3.0.1multi-library, cross-platform audio decodingcopy
conda
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linux-64 linux-aarch64 linux-ppc64le osx-64 osx-arm64 win-32 win-64 |
