Result for 8D9C50AA272207B0537CC60A777586E9E103E7E2

Query result

Key Value
FileName./usr/lib/R/library/mnormt/R/mnormt.rdx
FileSize393
MD5FC9B75EFF8E6AC6E8BD192F52DD5397B
SHA-18D9C50AA272207B0537CC60A777586E9E103E7E2
SHA-256C05567F0DF8CE8897915ED97D75F8CA5A323889300A69D250712D877D8F98D38
SSDEEP12:XEoNgLRlB4WLS5BB9T4o78MtfR2CfgEjC/:XEFuWLSLYo4Mt0YO/
TLSHT142E0F18A30E837A7E94D70CD0A06B715209FA094468FF04F7E325592C2A388DA8B8011
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD598512BDDDABEE957099A09CE7331EE9C
PackageArchx86_64
PackageDescriptionThis package provides functions for computing the density and the distribution function of multivariate normal and multivariate "t" variates, and for generating random vectors sampled from these distributions. Probabilities are computed via a non-Monte Carlo method; different routines are used for the case d=1, d=2, d>2, if d denotes the number of dimensions.
PackageNameR-mnormt
PackageRelease2.6
PackageVersion1.5_4
SHA-1B2A8D7AD7E9E165E07477729BDBF5B5931F77D0B
SHA-256A37065009D6DD4589C4A40BACCF02066136E5C6EAF8D207AEF93AFC869C85521
Key Value
MD566AEC37D1718D0936CC61999376BD5B5
PackageArchi586
PackageDescriptionThis package provides functions for computing the density and the distribution function of multivariate normal and multivariate "t" variates, and for generating random vectors sampled from these distributions. Probabilities are computed via a non-Monte Carlo method; different routines are used for the case d=1, d=2, d>2, if d denotes the number of dimensions.
PackageNameR-mnormt
PackageRelease2.241
PackageVersion1.5_4
SHA-178B8310B2FA5EBDDAD8AE5D5259505CF5DF27B4D
SHA-256D8E17D9F3932546CD606D1056187AFFE36BBA9D54387284BC9704DE77288701C
Key Value
MD5E0F8D8CC7BE1B0614AF2ED19BE58760D
PackageArchi586
PackageDescriptionThis package provides functions for computing the density and the distribution function of multivariate normal and multivariate "t" variates, and for generating random vectors sampled from these distributions. Probabilities are computed via a non-Monte Carlo method; different routines are used for the case d=1, d=2, d>2, if d denotes the number of dimensions.
PackageNameR-mnormt
PackageRelease2.243
PackageVersion1.5_4
SHA-1CFCA592843D7DEA55446077CBBE3EF0BBDB05937
SHA-256FD5721FCD895E1B2B7BE1D72FC10BA3BBE5FE22274F4F58BA27CBA40EC95137C