Parents (Total: 70)

The searched file hash is included in 70 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	986034
MD5	534E71D271F4E739F9824F35E88B1F1F
PackageDescription	GNU R package for financial engineering -- fMultivar This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz. . fMultivar provides multivariate analysis for financial time series. Its code was previously provided within the fSeries package from which it has been split off. . URL: http://www.Rmetrics.org
PackageMaintainer	Dirk Eddelbuettel <edd@debian.org>
PackageName	r-cran-fmultivar
PackageSection	math
PackageVersion	201.10060-1
SHA-1	050EB567E1FD481BF880D42EE0A0216B843E23A1
SHA-256	009B468074EDF9B4377CFBC976F3295C6E9890794ED496392D4877D669512577

Key	Value
FileSize	1623460
MD5	A6CAE6515A34E107C270D81481464701
PackageDescription	GNU R package for financial engineering -- fBasics This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz. . fBasics provides basic statistics and plots, additional distribution functions, classical tests, and other tools. Calendar, date and time functions have been moved into fCalendar. . URL: http://www.Rmetrics.org
PackageMaintainer	Dirk Eddelbuettel <edd@debian.org>
PackageName	r-cran-fbasics
PackageSection	math
PackageVersion	201.10060-1
SHA-1	069B2982B3E331BE427650DE0CFB633F7631ECB1
SHA-256	C8EBA8DD482BB0D43306BF98BBE6753378B0C1534400157829091DAEB599EDCA

Key	Value
FileSize	911936
MD5	C79F7752EECE1E3F21A8401545B03BB8
PackageDescription	GNU 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://hesweb1.med.virginia.edu/biostat/s/Design.html
PackageMaintainer	Dirk Eddelbuettel <edd@debian.org>
PackageName	r-cran-design
PackageSection	math
PackageVersion	2.0.11-1
SHA-1	0CDD8799030D46D9C398C28067859A576D438C79
SHA-256	307D42AD4F42B9FBFB9948D2BD1AAEB1D82E849105E750D737C5F4067334C676

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD//3.9//packages//amd64//R-2.1.1.tgz
MD5	D4489D5FA6BAF94685BE4FC5D2786BFF
SHA-1	0FC18B9E5C0A877155EBF372CD4D76BD5AC1E16B
SHA-256	D73F82D9C2D2B142A333AAA4D59E7396FD2FD4CF7947127C8F5B88094B5E352A
SSDEEP	393216:vml4E4XDKcHcCczojUjsJfzZP+oN7KUknw8nDW3oSaC:OYKchkoa4ZtdKUkZy3RaC
TLSH	T161E6331E0CB562824C2EF3AB0D13CBE05856A3C6D0436739D395371EA4C6B6CFEA595E

Key	Value
FileSize	909480
MD5	F822B4A497FF97FEDBE6D3F370B08643
PackageDescription	GNU 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://hesweb1.med.virginia.edu/biostat/s/Design.html
PackageMaintainer	Dirk Eddelbuettel <edd@debian.org>
PackageName	r-cran-design
PackageSection	math
PackageVersion	2.0.9-2
SHA-1	1423E59114977210AF70E876115A3A3EE1547ADB
SHA-256	6D0B466FB991FB4899C049D64E27622035F494DD103C1A792F37A2657D996589

Key	Value
FileSize	910970
MD5	885EA4452D9BB9FBCFD2793F8787C643
PackageDescription	GNU 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://hesweb1.med.virginia.edu/biostat/s/Design.html
PackageMaintainer	Dirk Eddelbuettel <edd@debian.org>
PackageName	r-cran-design
PackageSection	math
PackageVersion	2.0.11-1
SHA-1	1BC315A0B24BFCEB91C261FF516D3529229E4890
SHA-256	1D3F1C0D90CB916CD3C4AD9E31995B2A8A69BDB19E928A80980744EF72EE55E7

Key	Value
FileSize	1105208
MD5	EDF90DFFAB4B761081599171A93E88CC
PackageDescription	GNU R package for financial engineering -- fBasics This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz. . fBasics provides basic statistics and plots, additional distribution functions, classical tests, time and date manipulations, holiday calculators and other tools. . URL: http://www.Rmetrics.org
PackageMaintainer	Dirk Eddelbuettel <edd@debian.org>
PackageName	r-cran-fbasics
PackageSection	math
PackageVersion	200.10058-1
SHA-1	1DE626664BC910E37F8840A80CD00D9B1FE34428
SHA-256	738BE9841D7C31B0AEA85383A11CEDB5A3EE2D02A4A9CA2AB89ADEBFB7C41BAF

Key	Value
FileSize	1971962
MD5	999280A6BBCE561D57BA486A7435A2B4
PackageDescription	GNU R package for financial engineering -- fSeries This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz. . fSeries provides functions to model the dynamic time series properties of financial asset prices: arma and garch modelling, general time series tools, technical analysis, rolling analysis and other tools. . URL: http://www.Rmetrics.org
PackageMaintainer	Dirk Eddelbuettel <edd@debian.org>
PackageName	r-cran-fseries
PackageSection	math
PackageVersion	200.10058-1
SHA-1	20C54576A195DC39005596B45CF4952B5245D37D
SHA-256	1168EE45D40593B3632DEC8A6E67E50CD8BC5079F5AE4507806C963216691B4E

Key	Value
FileSize	358232
MD5	B1231F6A9BC3625D215DB1C28BEF1AB8
PackageDescription	GNU R package for financial engineering -- fOptions This package of functions for financial engineering and computational finance is part of Rmetrics, a collection of packages written and compiled by Diethelm Wuertz. . fOptions provides functions to price and hedge plain and exotic options on one or several assets. . URL: http://www.Rmetrics.org
PackageMaintainer	Dirk Eddelbuettel <edd@debian.org>
PackageName	r-cran-foptions
PackageSection	math
PackageVersion	200.10058-1
SHA-1	234CDA263FB49C846CCD1FEDE63A624E61F01A2A
SHA-256	6F65E3065D875A1D9D780CAFEFB4C001EC59852ED0419EFB16DD9DF0F67F206D

Key	Value
FileSize	910836
MD5	00399CDC37A658BE765AFE19CDFAA510
PackageDescription	GNU 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://hesweb1.med.virginia.edu/biostat/s/Design.html
PackageMaintainer	Dirk Eddelbuettel <edd@debian.org>
PackageName	r-cran-design
PackageSection	math
PackageVersion	2.0.11-1
SHA-1	25AD6BF400D0892AA0E2E26EFC37BB2421A282F9
SHA-256	D591C63C7B0FCCD5101066502E53753F5D3596A8941DB6936F93389FD684AD89