gethats
(Package: brglm) :
Calculates the Leverages for a GLM through a C Routine
Calculates the leverages of a GLM through a C routine. It is intended to be used only within brglm.fit.
● Data Source:
CranContrib
● Keywords: regression
● Alias: gethats
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profile.brglm
(Package: brglm) :
Calculate profiles for objects of class 'brglm'.
Creates "profile.brglm" objects to be used for the calculation of confidence intervals and for plotting.
● Data Source:
CranContrib
● Keywords: models
● Alias: print.profile.brglm, profile.brglm
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Provides a tool for identifying whether or not separation has occurred.
● Data Source:
CranContrib
● Keywords: models, utilities
● Alias: separation.detection
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confint.brglm
(Package: brglm) :
Computes confidence intervals of parameters for bias-reduced estimation
Computes confidence intervals for one or more parameters when estimation is performed using brglm. The resultant confidence intervals are based on manipulation of the profiles of the deviance, the penalized deviance and the modified score statistic (see profileObjectives).
● Data Source:
CranContrib
● Keywords: htest, models
● Alias: confint.brglm, confint.profile.brglm
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Objectives that are used in profile.brglm
● Data Source:
CranContrib
● Keywords: models
● Alias: modifiedScoreStatistic, penalizedDeviance, profileObjectives
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brglm.control
(Package: brglm) :
Auxiliary for Controlling BRGLM Fitting
Auxiliary function as user interface for brglm fitting. Typically only used when calling brglm or brglm.fit.
● Data Source:
CranContrib
● Keywords: iteration
● Alias: brglm.control
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brglm
(Package: brglm) :
Bias reduction in Binomial-response GLMs
Fits binomial-response GLMs using the bias-reduction method developed in Firth (1993) for the removal of the leading (O(n^{-1})) term from the asymptotic expansion of the bias of the maximum likelihood estimator. Fitting is performed using pseudo-data representations, as described in Kosmidis (2007, Chapter 5). For estimation in binomial-response GLMs, the bias-reduction method is an improvement over traditional maximum likelihood because:
● Data Source:
CranContrib
● Keywords: iteration, models, regression
● Alias: brglm, brglm.fit, print.brglm, print.summary.brglm, summary.brglm
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plot.profile.brglm
(Package: brglm) :
Plot methods for 'profile.brglm' objects
plot.profile.brglm plots the objects of class "profileModel" that are contained in an object of class "profile.brglm". pairs.profile.brglm is a diagnostic tool that plots pairwise profile traces.
● Data Source:
CranContrib
● Keywords: dplot, hplot
● Alias: pairs.profile.brglm, plot.profile.brglm
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glm.control1
(Package: brglm) :
Auxiliary for Controlling BRGLM Fitting
Auxiliary function as user interface for brglm fitting. Typically only used when calling brglm or brglm.fit.
● Data Source:
CranContrib
● Keywords: iteration
● Alias: glm.control1
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modifications
(Package: brglm) :
Additive Modifications to the Binomial Responses and Totals for
Get, test and set the functions that calculate the additive modifications to the responses and totals in binomial-response GLMs, for the application of bias-reduction either via modified scores or via maximum penalized likelihood (where penalization is by Jeffreys invariant prior).
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: modifications
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