| ModelSelection {gRcox} | R Documentation |
~~ A concise (1-5 lines) description of what the function does. ~~
stepJoinVCC(m, alpha = 0.05, details=TRUE,
criterion = c("test", "aic", "bic"), statistic =
c("wald", "dev"), display = FALSE)
stepJoinECC(m, alpha = 0.05, details=TRUE,
criterion = c("test", "aic", "bic"), statistic =
c("wald", "dev"), display = FALSE)
stepJoinCC(m, type = "ecc", alpha = 0.05, details=TRUE,
criterion = c("test", "aic", "bic"), statistic =
c("wald", "dev"), display = FALSE)
stepSplitVCC(m, alpha = 0.05,details=TRUE,
criterion = c("test", "aic", "bic"), display = FALSE)
stepSplitECC(m, alpha = 0.05,details=TRUE,
criterion = c("test", "aic", "bic"), display = FALSE)
stepSplitCC(m, type = "ecc", alpha = 0.05,details=TRUE,
criterion = c("test", "aic", "bic"), display = FALSE)
stepDropECC(m, alpha = 0.05, statistic = c("wald", "dev"),
criterion = c("test", "aic", "bic"), details = TRUE, display = FALSE)
stepAddECC(m, alpha = 0.05, criterion = c("test", "aic", "bic"), details = TRUE, display = FALSE)
m |
An RCOX model object |
alpha |
Significance level |
type |
Either 'ecc' (edge colour class) or 'vcc' (vertex colour class) |
details |
Show details of the tests |
statistic |
Use Wald or likelihood ratio test |
criterion |
Either 'test', 'aic' or 'bic' |
display |
If TRUE and if the Rgraphviz package is loaded then the models are displayed graphically. |
stepSplitVCC and stepSplitECC are simply wrappers for stepSplitCC and likewise for stepJoinVCC, stepJoinECC and stepJoinCC.
An RCOX model object.
Søren Højsgaard, sorenh@agrsci.dk
data(math)
bufly0 <- rcox(vcc=list(~me, ~ve, ~al, ~an, ~st),
ecc=list(~me:ve, ~me:al, ~ve:al, ~al:an, ~al:st, ~an:st),
data=math)
bufly01<-stepJoinVCC(bufly0,statistic='dev')
bufly02<-stepJoinECC(bufly01, details=FALSE, statistic='dev')
bufly2 <- rcox(vcc=list(~al, ~me+st, ~ve+an),
ecc=list(~me:ve+me:al+ve:al, ~al:an+al:st+an:st),
data=math)
stepSplitECC(bufly2)