shiny module server for time-dependent roc analysis

shiny module server for time-dependent roc analysis- input number of model as integer

timerocModule(
  input,
  output,
  session,
  data,
  data_label,
  data_varStruct = NULL,
  nfactor.limit = 10,
  design.survey = NULL,
  id.cluster = NULL,
  iid = T,
  NRIIDI = T
)

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

Value

shiny module server for time-dependent roc analysis

shiny module server for time dependent roc analysis- input number of model as integer

Details

shiny module server for time-dependent roc analysis

shiny module server for time dependent roc analysis- input number of model as integer

See also

Examples

library(shiny) library(DT) library(data.table) library(jstable) library(ggplot2) library(timeROC) library(survIDINRI)
#> Loading required package: survC1
ui <- fluidPage( sidebarLayout( sidebarPanel( timerocUI("timeroc") ), mainPanel( plotOutput("plot_timeroc"), ggplotdownUI("timeroc"), DTOutput("table_timeroc") ) ) ) server <- function(input, output, session) { data <- reactive(mtcars) data.label <- jstable::mk.lev(mtcars) out_timeroc <- callModule(timerocModule, "timeroc", data = data, data_label = data.label, data_varStruct = NULL ) output$plot_timeroc <- renderPlot({ print(out_timeroc()$plot) }) output$table_timeroc <- renderDT({ datatable(out_timeroc()$tb, rownames = F, editable = F, extensions = "Buttons", caption = "ROC results", options = c(jstable::opt.tbreg("roctable"), list(scrollX = TRUE)) ) }) } library(shiny) library(DT) library(data.table) library(jstable) library(ggplot2) library(timeROC) library(survIDINRI) ui <- fluidPage( sidebarLayout( sidebarPanel( timerocUI("timeroc") ), mainPanel( plotOutput("plot_timeroc"), ggplotdownUI("timeroc"), DTOutput("table_timeroc") ) ) ) server <- function(input, output, session) { data <- reactive(mtcars) data.label <- jstable::mk.lev(mtcars) out_timeroc <- callModule(timerocModule2, "timeroc", data = data, data_label = data.label, data_varStruct = NULL ) output$plot_timeroc <- renderPlot({ print(out_timeroc()$plot) }) output$table_timeroc <- renderDT({ datatable(out_timeroc()$tb, rownames = F, editable = F, extensions = "Buttons", caption = "ROC results", options = c(jstable::opt.tbreg("roctable"), list(scrollX = TRUE)) ) }) }