rounding
(Package: grouped) :
Rounding Coarsening Mechanism
Creates the lower and upper limits of the interval in which the true response lies for grouped data in [0, 1].
● Data Source:
CranContrib
● Keywords: utilities
● Alias: rounding
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summary.grouped
(Package: grouped) :
Summary method for grouped objects
Summarizes the fit of grouped objects.
● Data Source:
CranContrib
● Keywords: methods
● Alias: summary.grouped
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The main use of this function is for identification of outliers.
● Data Source:
CranContrib
● Keywords: methods
● Alias: summary.resid.grouped
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anova.grouped
(Package: grouped) :
Anova method for grouped objects
Performs a Likelihood Ratio Test between two nested grouped models.
● Data Source:
CranContrib
● Keywords: methods
● Alias: anova.grouped
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equispaced
(Package: grouped) :
Equispaced Coarsening Mechanism
Creates the lower and upper limits of the interval in which the true response lies for grouped data in [0, 1].
● Data Source:
CranContrib
● Keywords: utilities
● Alias: equispaced
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grouped
(Package: grouped) :
Regression for Grouped Data - Coarse Data
grouped is used to fit regression models for grouped or coarse data under the assumption that the data are Coarsened At Random.
● Data Source:
CranContrib
● Keywords: regression
● Alias: grouped
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plot.grouped
(Package: grouped) :
Plot method for grouped objects
Produces the plot of residuals versus the fitted values for a fitted grouped model.
● Data Source:
CranContrib
● Keywords: hplot, methods
● Alias: plot.grouped
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power.grouped
(Package: grouped) :
Power and sample size calculations for grouped data
Uses the method of Tsonaka, Rizopoulos and Lesaffre (2005) to estimate the power (or sample size to achieve desired power) of the Wald's test statistic for two-tailed two group comparisons in grouped data.
● Data Source:
CranContrib
● Keywords: htest
● Alias: power.grouped
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Computes a version of Bayesian latent residuals for grouped models.
● Data Source:
CranContrib
● Keywords: methods
● Alias: residuals.grouped
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providing 
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