Parents (Total: 65)

The searched file hash is included in 65 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	89122
MD5	07560355A888C368361AB0D151799F5D
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.5-9-1
SHA-1	00770E752F8C5FB157A88D154E3469783D8C9C5C
SHA-256	56FCBE23F2249C0BA6AF4DD02119EA3C73E640201AAFDFE93E917A7F6DEA96C8

Key	Value
FileSize	89264
MD5	C687EFE51317BE1C4CEEBEF64E299A22
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.5-9-1
SHA-1	0164AD6A590499B88DF3A586EAE09C38BA988C23
SHA-256	FB8D499AD325D89763FF545941AE34E6656F36FA7E57AD75489A6F366C6B51A6

Key	Value
FileSize	89254
MD5	8A9014CBE27D6AB2CEF6587DD36FDC18
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.5-9-1
SHA-1	02EB0194C9224AB83725A17C4622369881F403BA
SHA-256	D472F5F0D7A348AD0EB160291D6A3F8BCD202DA637FDEA86765C613331238027

Key	Value
FileSize	123952
MD5	E21FF49D480D464E9B998131E02C9A74
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.7.2-1
SHA-1	049487A17BBE796E8F2C58DF9DF8EBF6F9614774
SHA-256	EBE35DA45C2932371E0F9E925C4BF5A61716AF87796EA3974941D0EEB6EFE31F

Key	Value
FileSize	123516
MD5	7E8166FFDE1B4364E6AE0D197E4EC773
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.7.1-1
SHA-1	05407CB486773EC62D6B66BEC4C5F76C0B769A46
SHA-256	A2A9C0446C908307C0ED84B869930E076AF9F56C31277318632BD6E373D80193

Key	Value
MD5	1844F770F3A391FEE4FFF98594E3E7E0
PackageArch	i586
PackageDescription	Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageName	R-brglm
PackageRelease	lp150.3.5
PackageVersion	0.5_9
SHA-1	054928618816F0338B95569E9A4ED25664599750
SHA-256	F02413D347C51B95A250E1891811782A9FCF93D50541B34F58F0A09E058C6BAC

Key	Value
FileSize	120084
MD5	76903C6A5349B593C7CF6A5194A83A50
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.6.1-2
SHA-1	0FC9CA99E9BFC3A19EB101D07D6130268E4D9C52
SHA-256	D7900881D1AD547231F2B91909C16570AC3838A016E0B5116D2F2A26F1839216

Key	Value
FileSize	123476
MD5	5F47FC3E8566037D705E041188BE0520
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.7.1-1
SHA-1	13A6C6D50B0673D086EB140D9125C04F732FEFC7
SHA-256	ED45D5BED29E958808CDC325E321A438E5A170DB297BA1253A2EEA90D2A97A55

Key	Value
FileSize	124372
MD5	40656DBCF603F24A14B8FAA9B2016AFA
PackageDescription	GNU R package for bias reduction in binomial-response GLMs Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.7.2-1
SHA-1	14B270E7ECBEE8DC5CCE92DD75DD901C4584B6D2
SHA-256	980E5CE02D93A5640A0B52FAF3A8AB11AB72EE32FE6A0E6A329920230B968706

Key	Value
MD5	B9E647E17D49571CB4D7C063518FD7A1
PackageArch	x86_64
PackageDescription	Fit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageName	R-brglm
PackageRelease	lp153.3.12
PackageVersion	0.5_9
SHA-1	15E34DD893E734654A49196439D74F8E852E75EF
SHA-256	DA005EB073906E220BA813B5567FD426DC2B128FAFDBDB62E999559C0C32849D