Result for 3AF808B6E8076F3F481775CE9ADBEBB7DAE10A59

Query result

Key Value
FileName./usr/lib64/R/library/econet/R/econet.rdb
FileSize178777
MD58EC7BD93BD190E0218A6140B6FD60D74
SHA-13AF808B6E8076F3F481775CE9ADBEBB7DAE10A59
SHA-256BCBC36751288D6EC6F150E5D28ECDD54317BB04DA2828ABCB405102010558096
SSDEEP3072:HRwSfz42ZT6PhMhVku3nRWtaEND9t1LWsdxIijwTnyRNpxAoGZMEgVR0U6uMODMT:lfrZTQhg6wARWibj1RN2WQbuMOD4
TLSHT1DC0412DD9672DAE221811021C5FE879DF70916E3CEF5F168E8C2E730364E1A6114AEE6
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
MD55626D3A60E38201F0276E8C2EAC52442
PackageArchx86_64
PackageDescriptionProvides methods for estimating parameter-dependent network centrality measures with linear-in-means models. Both non linear least squares and maximum likelihood estimators are implemented. The methods allow for both link and node heterogeneity in network effects, endogenous network formation and the presence of unconnected nodes. The routines also compare the explanatory power of parameter-dependent network centrality measures with those of standard measures of network centrality. Benefits and features of the 'econet' package are illustrated using data from Battaglini and Patacchini (2018) and Battaglini, Patacchini, and Leone Sciabolazza (2020). For additional details, see the vignette.
PackageNameR-econet
PackageReleaselp153.2.2
PackageVersion0.1.94
SHA-187A376379965CC56E913613670F1BC2811366E49
SHA-256D4B5486BFAB5BE1BBE8F96DE06AC67C3F4D435A2E99B7A8B43EE0039CA4ABEF4