Result for 32664FFA02DBE92870E8A3584F6C37B9ECE638CE

Query result

Key Value
FileName./usr/lib/R/site-library/rms/INDEX
FileSize4758
MD515E272695A30D74D5637CBD48DEAEDE9
SHA-132664FFA02DBE92870E8A3584F6C37B9ECE638CE
SHA-256AF7E62CC918AC97CCC8A4636E49A4EC52E1F30211AD90BDB1737F543BCB1964A
SSDEEP96:KvyDi3ObX5qgLbMD+IeCUl6R4DA+TaaE3FYEB:YenPtIeCUl6RX+Taa+FYEB
TLSHT145A15244961143246FC387FEA79954510BB96A8371511500F6FF82B60F8FAAC83BBFE8
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