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 |
| MD5 | F6A80F98A40868424E95AD850A01F8FB |
| 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 | 3.229 |
| PackageVersion | 0.5_9 |
| SHA-1 | 983CDDCA7DB9481B919D9789FE3BC21BB03A9056 |
| SHA-256 | 6AF8368EA2D55999C6F10BBDD566BDE729718CCB40E92C6EB69F22DC8F308477 |
| Key |
Value |
| MD5 | 912002974319CA69CD812B7B882E4087 |
| 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 | 3.228 |
| PackageVersion | 0.5_9 |
| SHA-1 | 6544396DD879F27EBC274943172A9C6252F4698A |
| SHA-256 | 3C8D1710532B0FAA04CE28ACD6E53B93B543B238AA1DA0CF46314209AE8B3AF9 |