Result for 356CEAA9BB7E5375FF07727194B398F90B40643E

Query result

Key Value
FileName./usr/lib/R/site-library/spdep/help/spdep.rdb
FileSize347637
MD539174D3FC3ABA59BA070617ECE0444E9
SHA-1356CEAA9BB7E5375FF07727194B398F90B40643E
SHA-256A218291AF74AFE4F139248CB421F13070F1BA86744A3051D408ACBD23BD23D58
SSDEEP6144:FElWFZ1JELl3XOgZtgdkaxv+/FV6uq6ZnAYZ3is3FNz8UVgZUgPcNzlYYWQ:FCM1IlnOgZ0kaxWX6R6Z7SYJlIUJWQ
TLSHT1447423955FB830BAE67446031D648AB3E5322175220AEECCD705FDABB10AFCD0347A6D
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize2029612
MD5EF6235D7160D4D9D6826F3226CACB772
PackageDescriptionGNU R spatial dependence: weighting schemes, statistics and models A collection of functions to create spatial weights matrix objects from polygon contiguities, from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial autocorrelation, including global Moran's I, APLE, Geary's C, Hubert/Mantel general cross product statistic, Empirical Bayes estimates and Assunção/Reis Index, Getis/Ord G and multicoloured join count statistics, local Moran's I and Getis/Ord G, saddlepoint approximations and exact tests for global and local Moran's I; and functions for estimating spatial simultaneous autoregressive (SAR) lag and error models, impact measures for lag models, weighted and unweighted SAR and CAR spatial regression models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models, and generalized spatial two stage least squares models.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-spdep
PackageSectiongnu-r
PackageVersion1.1-5+dfsg-1
SHA-1233F353C7B5F6C4EB3E2D4514DD308AE7035CA9D
SHA-2565DC4A3205CF10F990AC15D2DF38BA5332747C87703BFE287EDD8EEDAC895FA04