timerocModule {jsmodule} | R Documentation |
timerocModule: shiny module server for time-dependent roc analysis
Description
shiny module server for time-dependent roc analysis
shiny module server for time-dependent roc analysis- input number of model as integer
Usage
timerocModule(
input,
output,
session,
data,
data_label,
data_varStruct = NULL,
nfactor.limit = 10,
design.survey = NULL,
id.cluster = NULL,
iid = TRUE,
NRIIDI = TRUE
)
timerocModule2(
input,
output,
session,
data,
data_label,
data_varStruct = NULL,
nfactor.limit = 10,
design.survey = NULL,
id.cluster = NULL,
iid = T,
NRIIDI = T
)
Arguments
input |
input |
output |
output |
session |
session |
data |
Reactive data |
data_label |
Reactuve data label |
data_varStruct |
Reactive List of variable structure, Default: NULL |
nfactor.limit |
nlevels limit in factor variable, Default: 10 |
design.survey |
Reactive survey data. default: NULL |
id.cluster |
Reactive cluster variable if marginal model, Default: NULL |
iid |
logical, get CI of AUC, Default: T |
NRIIDI |
logical, get NRI & IDI, Default: T |
Details
shiny module server for time-dependent roc analysis
shiny module server for time dependent roc analysis- input number of model as integer
Value
shiny module server for time-dependent roc analysis
shiny module server for time dependent roc analysis- input number of model as integer
See Also
quantile
setkey
data.table
rbindlist
quantile
setkey
data.table
rbindlist