Description Usage Arguments Value Author(s) References
Estimation of the Universal Approximate Cross Validation (UACV) criterion for a joint model
1 2 |
model |
a JointMult model |
Y |
a list of |
D |
a list of two-sided formula defining the event part of the model |
data |
data.frame containing the observations and variables |
var.time |
a character vector indicating the name of the time variables |
RE |
an indicator of the random effect structure between dimensions |
BM |
an indicator of the correlation of the Brownian motions |
B |
vector cntaining initial values for the parameters |
posfix |
optional vector specifying the indices in vector B of the parameters that are not estimated |
breaks |
optional vector specifying the break points in the case where the event time is discretized |
delayed |
logical vector indicating if delayed entry should be accounted for |
the value of the Universal Approximate Cross Validation criterion
Cecile Proust-Lima and Viviane Philipps
Commenges D, Proust-Lima C, Samieri C, Liquet B. A universal approximate cross-validation criterion for regular risk functions. The International Journal of Biostatistics 2015; 11(1): 51–67. doi: 10.1515/ijb-2015-0004
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