Parents (Total: 21)

The searched file hash is included in 21 parent files which include package known and seen by metalookup. A sample is included below:

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
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
FileSize	124148
MD5	69CDF756603158644420AB8E50E5A045
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	19A107F445D112054CAF52C6BB46E38F91863F70
SHA-256	5DCA2D11537EAEF3F672F07D5556674510FD50E05E590F79A3E870327E3E6D16

Key	Value
FileSize	124388
MD5	BA748F3E21448474FE111779159AFE85
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	203C93730E87A67B7F00FE93D91FC32A81E1F211
SHA-256	DC69E5FADDCB6F5EC0EC79C3F73C4A3A168E24A18A2DD00ADB27FCE9FD670E9D

Key	Value
FileSize	123408
MD5	273854124468B92C17CA8887322F5EED
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	37A6894F475634F95528A70EDC48DCFEA3B0A612
SHA-256	3475C31D23A0ADFDD6BC1DA8FC35C8B1F8A74F9ED85805A99E4B0AACFF8685D4

Key	Value
FileSize	121052
MD5	93268611CB2A6AA6479ABDA19A638403
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	r-cran-brglm
PackageSection	gnu-r
PackageVersion	0.6.2-1build1
SHA-1	442A831BCCB759EF1A64DE04E7FCCCF35AF29C0C
SHA-256	ED96C7ED6375CE3F03F2F22BA4F7645C84BD6707F9A6B32C68EA306187E94E02

Key	Value
FileSize	123704
MD5	4C8E1E1BADF1A1F5226324A0A8A7D8D5
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	45BF9DB37043DF742EAB59ECC7E881A27C422C26
SHA-256	EF9AA7CAA125AA17E8562752F89DE13B48D8EF3C183E84E1BAD3D5C921C274B5

Key	Value
FileSize	123536
MD5	DF51C54683F0BE210510B9C94238849D
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	5D6808081203736C1C0869C086CA3C3A103EC748
SHA-256	9A0C7F264806211BF47B5516D8E13A157F76F47597C70B095B81B545D25245A8