rgw
(Package: GWRM) :
Simulation of Generalized Waring values
Random generation of values from a Generalized Waring distribution with parameters a, k and ro.
● Data Source:
CranContrib
● Keywords:
● Alias: rgw
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drop1.gw
(Package: GWRM) :
Drop All Possible Single Terms to a GWRM Model
Compute all the single terms in the scope argument that can be dropped from the GWRM model, fit those models and compute a table of the changes in fit.
● Data Source:
CranContrib
● Keywords:
● Alias: drop1.gw
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0 images
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predict.gw
(Package: GWRM) :
GWRM Predictions
Obtains predictions from a fitted GWRM object.
● Data Source:
CranContrib
● Keywords:
● Alias: predict.gw
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gw
(Package: GWRM) :
Fitting GWRM Models
gw is used to fit Generalized Waring Regression Models (GWRM), specified by giving a symbolic description of the linear predictor.
● Data Source:
CranContrib
● Keywords:
● Alias: gw, gw.fit
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add1.gw
(Package: GWRM) :
Add All Possible Single Terms to a GWRM Model
Compute all the single terms in the scope argument that can be added to the GWRM model, fit those models and compute a table of the changes in fit.
● Data Source:
CranContrib
● Keywords:
● Alias: add1.gw
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0 images
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partvar
(Package: GWRM) :
Partition of the variance in a GWRM model
In a GWRM model, the variance may be split into three terms. The first component of this decomposition represents the variability due to randomness and it comes from the underlying Poisson model. The other two components refer to the variability that is not due to randomness but is explained by the presence of liability and proneness, respectively.
● Data Source:
CranContrib
● Keywords:
● Alias: partvar
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residuals.gw
(Package: GWRM) :
Extract and Visualize GWRM Model Residuals
residuals is a method which extracts model residuals from "gw", commonly returned by gw function. Optionally, it produces a normal plot with a simulated envelope of the residuals.
● Data Source:
CranContrib
● Keywords:
● Alias: residuals.gw
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1 images
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GWRM
(Package: GWRM) :
Generalized Waring Regression Model for Count Data
Statistical functions to fit, validate and describe a Generalized Waring Regression Model (GWRM).
● Data Source:
CranContrib
● Keywords:
● Alias: GWRM, GWRM-package
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0 images
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