Result for 025794463BCE5181D2B018D52F55DB7191E9E33E

Query result

Key Value
FileName./usr/lib/R/site-library/Design/DESCRIPTION
FileSize1457
MD5ADD9C2EEF242B6670BF19837EF47F149
SHA-1025794463BCE5181D2B018D52F55DB7191E9E33E
SHA-256085134DEDE913FA08EBCF676E25A3196AD24BE12894673122425BC7417CBAEA1
SSDEEP24:fKURiDOgW6FVIYtOCLVA9hrzyP+NT6nD+2vryhWni7qwxiGZrZkaRZkqvqxjjz:fKIYMCh676ni2zuyi7GGZdzHvqxL
TLSHT1F2313001A6012A70EF8B848FBEB12B440B25811BB5544EF0798FE04C2F9074D1BDA7AE
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
FileSize940138
MD599475FB17D78DEE3B0B7C5D8F6BC7913
PackageDescriptionGNU R regression modeling strategies tools by Frank Harrell Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. Design is a collection of about 180 functions that assist and streamline modeling, especially for biostatistical and epidemiologic applications. It also contains new 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. Design works with almost any regression model, but it was especially written to work with logistic regression, Cox regression, accelerated failure time models, ordinary linear models, and the Buckley-James model. . See Frank Harrell (2002), Regression Modeling Strategies, Springer Series in Statistics, as well as http://biostat.mc.vanderbilt.edu/rms and http://biostat.mc.vanderbilt.edu/s/Design.
PackageMaintainerUbuntu MOTU Developers <ubuntu-motu@lists.ubuntu.com>
PackageNamer-cran-design
PackageSectionmath
PackageVersion2.1-2-1
SHA-1B3BD785ADAC585E20C8563B8B4D0C8D454F23011
SHA-2565EA6B42E74B9FB3511FA82F0F0B073F81D3AA2D81DD46BBDB6EF67B4BE52FA71