Key | Value |
---|---|
FileName | ./usr/lib64/R/library/rMaps/help/aliases.rds |
FileSize | 79 |
MD5 | 580AAD9A1AC07FD57BBA3D7783A38424 |
SHA-1 | 9E65797635ED4D92F8FD2E2CE5B7B72C1DFA4F88 |
SHA-256 | 29C86F018C84780C5EF0421B4CE3D8719F82BB30B49D93944A5FE633934E2CD9 |
SSDEEP | 3:FttVFD/EWOjf9hFgst9VVVyZpFm9kn:XtVFDjOJhaM9VVsM9kn |
TLSH | T10DA0118CE3800080E08A8C3882A00A20808888AAC3B08AB230080080A0CA80008F28AE |
hashlookup:parent-total | 108 |
hashlookup:trust | 100 |
The searched file hash is included in 108 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 65536DDF11117D18091EFD62E28910ED |
PackageArch | x86_64 |
PackageDescription | A header only library integrating 'testthat' with 'trompeoeil' to provide mocking for C++ code in R packages. Mocking is a technique for making a fake version of a software service. You can mock services to test that your code interacts correctly with external interfaces, to make your tests deterministic, or to break your tests down into smaller units. 'testthat' provides a testing framework for R and C++ code in R packages. 'trompeoeil' is a C++ header only library for mocking. |
PackageName | R-mockcpp |
PackageRelease | lp153.3.3 |
PackageVersion | 0.0.1 |
SHA-1 | 05BA6043E95B5A6A08654BCB4A8E11E9B18BD7EC |
SHA-256 | 4CB55702BB551AB4416F27466F395DB3A2A8F17BE8B620CC2D1152E58EBB912F |
Key | Value |
---|---|
MD5 | 12EFD163599AFE0C1ED194AB043E70A4 |
PackageArch | x86_64 |
PackageDescription | Deprecated. |
PackageName | R-hse |
PackageRelease | 1.19 |
PackageVersion | 0.0.28 |
SHA-1 | 06223CE25DC22BD3C9DA28512A45095E4B0A5700 |
SHA-256 | 9496759BFD236A92E04E2201C35F7557675A0D53E5B4C17DD8B424ECA5E2FF13 |
Key | Value |
---|---|
MD5 | A318DBE55900755647A1903F89FA76FE |
PackageArch | x86_64 |
PackageDescription | Enhances the R Optimization Infrastructure ('ROI') package with the 'optimx' package. |
PackageName | R-ROI.plugin.optimx |
PackageRelease | lp152.3.6 |
PackageVersion | 1.0.0 |
SHA-1 | 0B97F30DDB94D6EAE7E58E3F29DF12EE0D9C3D81 |
SHA-256 | 7F335DBC572223760B695996029E337EE081AA0254F30C39086D8DA614F23D47 |
Key | Value |
---|---|
MD5 | 133F842DE05E259F6D8B5C877FA871A9 |
PackageArch | x86_64 |
PackageDescription | Enhances the R Optimization Infrastructure ('ROI') package by registering the 'quadprog' solver. It allows for solving quadratic programming (QP) problems. |
PackageName | R-ROI.plugin.quadprog |
PackageRelease | lp154.3.1 |
PackageVersion | 1.0.0 |
SHA-1 | 0D51460B0783742361B4F96125D720A3699D5BBE |
SHA-256 | 8A9AFB94EDCBA8123CFE536BC1508AA26AFD4569027A0DC761BC3786AEBB775F |
Key | Value |
---|---|
MD5 | A621A61B126FD53982A828322CA8E986 |
PackageArch | x86_64 |
PackageDescription | Enhances the R Optimization Infrastructure ('ROI') package with the 'optimx' package. |
PackageName | R-ROI.plugin.optimx |
PackageRelease | 3.18 |
PackageVersion | 1.0.0 |
SHA-1 | 101ECC4226EEDB8B2EB122ADAA38EAA3A104C94B |
SHA-256 | B4FFBC20ECF18ED64CC909E4ACA84E9507DBD220369C2D31969A7DA86021B318 |
Key | Value |
---|---|
MD5 | B8FC9A6DC7046200775677D8D35FFA13 |
PackageArch | x86_64 |
PackageDescription | Enhances the 'R' Optimization Infrastructure ('ROI') package by registering the free 'GLPK' solver. It allows for solving mixed integer linear programming ('MILP') problems as well as all variants/combinations of 'LP', 'IP'. |
PackageName | R-ROI.plugin.glpk |
PackageRelease | lp152.3.6 |
PackageVersion | 1.0.0 |
SHA-1 | 1052A7E0ECF94AA0BF44F1308CB44B7BDDC678AE |
SHA-256 | A6A18311B87CAE6E03106ED9B96F689FA74B5AE63F24DF33E31223B6BC6EBC02 |
Key | Value |
---|---|
MD5 | 9682DFE149A4FC402660ED8A98ECB279 |
PackageArch | x86_64 |
PackageDescription | The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models. |
PackageName | R-StanHeaders |
PackageRelease | 1.53 |
PackageVersion | 2.19.0 |
SHA-1 | 11E893B8AFCA3BDEDC8A6DE3BE05072FA73DE9BA |
SHA-256 | 37C4D5957F2AC1C42F77DEB29E35D553249B390ECAAE9F3C080D34D019CA1257 |
Key | Value |
---|---|
MD5 | 685C27BE8426F150E804C31EB1FC21E4 |
PackageArch | x86_64 |
PackageDescription | Fits mixed-effects models using a variety of distributions. |
PackageName | R-glmmADMB |
PackageRelease | lp153.1.12 |
PackageVersion | 0.8.3.3 |
SHA-1 | 12C57164455AE46620B9A15E7589677A9ACD75E7 |
SHA-256 | 917EE177561F99EF1E3593D7598332A194F0BFB497417B8A2043E15CD2EF5CC5 |
Key | Value |
---|---|
MD5 | F242DEB93550FAB4BF8F6B2836692333 |
PackageArch | x86_64 |
PackageDescription | Sejong(http://www.sejong.or.kr/) corpus and Hannanum(http://semanticweb.kaist.ac.kr/home/index.php/HanNanum) dictionaries for KoNLP |
PackageName | R-Sejong |
PackageRelease | lp153.2.3 |
PackageVersion | 0.01 |
SHA-1 | 1420EEFCA894E7DFF0B4531C8F076BCBD6A2F310 |
SHA-256 | 416EEB5273BC9EE1DCFD2D17B2A188F0CC578763969FDD11483EA6C5B6175646 |
Key | Value |
---|---|
MD5 | C0243FD047C2BBE34CB178AB83354099 |
PackageArch | x86_64 |
PackageDescription | This package allows R users to create interactive maps. |
PackageName | R-rMaps |
PackageRelease | lp151.1.72 |
PackageVersion | 0.1.1 |
SHA-1 | 15D48D9C55510C3DD4E0719ECCE89E516C00761C |
SHA-256 | 7498A55CD8BEE9743C31460024118010A13A7FD3F84A03194171B80061D1CA99 |