Result for 045FC5BC230255D9A614760D33FA688C8BF23DDB

Query result

Key Value
FileName./usr/share/doc/r-cran-rms/changelog.Debian.gz
FileSize633
MD5F1B048F447D1D70126E45E90CE7ED852
SHA-1045FC5BC230255D9A614760D33FA688C8BF23DDB
SHA-2566FA416335555ACE91AEE4B0FD9EDC76F647F1B58F398051AADF5ABD0C9927D69
SSDEEP12:XfJd24iGbzJLm4/NzAaruF5r8ZgFOANkFBn7zfMddQeFIeUsgb11mqV0tz7s:XfJd24JbzJx/JAaKtsokF1zGdjmsgxsC
TLSHT150F062FABB30A01834847BD1C1BC96340E382F634BC9F0E293F10DA0094996E0528979
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize995286
MD5B726252EE29DF4FD237B647E3B040AFC
PackageDescriptionGNU R regression modeling strategies by Frank Harrell Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of 229 functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. rms works with almost any regression model, but it was especially written to work with binary or ordinal logistic regression, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression. . See Frank Harrell (2001), Regression Modeling Strategies, Springer Series in Statistics, as well as http://biostat.mc.vanderbilt.edu/Rrms.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-rms
PackageSectiongnu-r
PackageVersion4.1-1-1
SHA-1DF96150206CDC672350008614B697FB20C880FA8
SHA-256428C3B22888631E54E50856CB1F18F712D5E029E6E260D75FCA3E48191FA8BEE
Key Value
FileSize992560
MD5344B0E4323BE9C7D45A736ED66D93A16
PackageDescriptionGNU R regression modeling strategies by Frank Harrell Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of 229 functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. rms works with almost any regression model, but it was especially written to work with binary or ordinal logistic regression, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression. . See Frank Harrell (2001), Regression Modeling Strategies, Springer Series in Statistics, as well as http://biostat.mc.vanderbilt.edu/Rrms.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-rms
PackageSectiongnu-r
PackageVersion4.1-1-1
SHA-1340EE7809D18C2A743D97D561C03B394C2060BEF
SHA-25602D1458C2FE8DEF68C78B9615280F8F916E3174F70E46A5561EF4565C0A13A3C