Result for 4226CA5BBE4010C8C52AD62370C3FA57DCFC384B

Query result

Key Value
FileName./usr/lib64/R/library/econet/Meta/package.rds
FileSize1629
MD5DEB258F8EF9DE59740A1D584D9AC71FF
SHA-14226CA5BBE4010C8C52AD62370C3FA57DCFC384B
SHA-2568B3213B11CE9A0E59FAA59965D3845EF5862FC63FDA6065B5E539A971BBB0F61
SSDEEP48:XsIyHL39sM83l5MJErWIb1IGNkTeGbL1lXv39a9V2bxJ:cIyHLmaM1IGyTeGbplVa9kbxJ
TLSHT184310A9C7084070331A3EC39F87306AB26A8BDB1E5D50E7C8605CC4928599C19E3B63D
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
MD5F4AE731DCB699AC5F97832067473273A
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
PackageRelease2.16
PackageVersion0.1.94
SHA-1C6EF9AC0723B8F5153EDC9521A85F39F2CA3035D
SHA-25676935B36C1ADDDDBC3BBCFE931CAD0EE3EC5CCDCCFA3489F9CE51C9DB47B5847