P__disp
(Package: LOGIT) :
Display Pearson Chi2 and associated dispersion statistic
Following the glm() function with a grouped binomial or poisson family, or glm.nb(), P__disp() displays the Pearson Chi2 statistic and related dispersion statistic. Values of the dispersion greater than 1.0 indicate possible overdispersion; values under 1.0 indicate possible underdispersion.
● Data Source:
CranContrib
● Keywords: models
● Alias: P__disp
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For use with JAGS from within the R environment. Provides a nicer model output than comes with the default JAGS output.
● Data Source:
CranContrib
● Keywords: models
● Alias: jhbayes
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toOR
(Package: LOGIT) :
Display logistic coefficient table as odds ratios and associated statistics.
Following the glm command, toOR() displays a table of odds ratios and related statistics including exponentiated model confidence intervals.
● Data Source:
CranContrib
● Keywords: models
● Alias: toOR
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toRR
(Package: LOGIT) :
Display count model coefficient table as incidence rate ratios and associated statistics.
Following the glm or glm.nb commands, toRR() displays a table of incidence rate ratios and related statistics including exponentiated model confidence intervals.
● Data Source:
CranContrib
● Keywords: models
● Alias: toRR
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confusion_stat
(Package: LOGIT) :
Display confusion or classification matrix following logistic regression using glm with binomial family.
Provides a confusion matrix of classification statistics following logistic regression.
● Data Source:
CranContrib
● Keywords: models
● Alias: confusion_stat
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hlGOF.test
(Package: LOGIT) :
Display Hosmer-Lemeshow statistic and table of probabilities following logistic
Provides a Hosmer-Lemeshow statistic and table following logistic regression.
● Data Source:
CranContrib
● Keywords: models
● Alias: hlGOF.test
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Produces indices in x of percentile steps by 1/breaks and respective percentiles.
● Data Source:
CranContrib
● Keywords: models
● Alias: iQuantile
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ROCtest
(Package: LOGIT) :
Display ROC curve and related AUC statistic, or sensitivity-specificity plot of glm
Provides two options following the glm() function with binomial family. 1: Senstivity-specificity plot with optimal cut point statistic 2: ROC plot with Area Under Curve (AUC) statistic
● Data Source:
CranContrib
● Keywords: models
● Alias: ROCtest
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HLTest
(Package: LOGIT) :
Display Hosmer-Lemeshow statistic and table of probabilities following logistic
Provides a Hosmer-Lemeshow statistic and table following logistic regression.
● Data Source:
CranContrib
● Keywords: models
● Alias: HLTest
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