Description Usage Arguments Details Value References See Also
Implements the cross-validation described in Davison & Davenport (2002).
1 2 |
formula |
An object of class |
data |
An optional data frame, list or environment containing the variables in the model. |
seed |
Should a seed be set? Function defaults to a random seed. |
na.action |
How should missing data be handled? Function defaults to failing if missing data are present. |
family |
A description of the error distribution and link function to be used in the model. See |
weights |
An option vector of weights to be used in the fitting process. |
The pcv
function requires two arguments: criterion and predictor. The criterion corresonds to the dependent variable and the predictor corresponds to the matrix of predictor variables. The function performs the cross-validation technique described in Davison & Davenport (2002) and an object of class critpat
is returned. There the following s3 generic functions are available: summary()
,anova()
, print()
, and plot()
. These functions provide a summary of the cross-validation (namely, R2); performs ANOVA of the R2 based on the split for the level, pattern, and overall; provide output similar to lm()
; and plot the estimated parameters for the random split. Missing data are presently handled by specifying na.action = "na.omit"
, which performs listwise deletion and na.action = "na.fail"
, the default, which causes the function to fail. A seed may also be set for reproducibility by setting the seed
.
An object of class critpat
is returned, listing the f ollowing components:
R2.full
, test of the null hypothesis that R2 = 0
R2.pat
, test that the R2_pattern = 0
R2.level
, test that the R2_level = 0
R2.full.lvl
, test that the R2_full = R2_level = 0
R2.full.pat
, test that the R2_full = R2_pattern = 0
Davison, M., & Davenport, E. (2002). Identifying criterion-related patterns of predictor scores using multiple regression. Psychological Methods, 7(4), 468-484. DOI: 10.1037/1082-989X.7.4.468.
cpa
,print.critpat
,summary.critpat
,anova.critpat
,plot.critpat
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