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#' advanced_parameters UI Function
#'
#' @description A shiny Module.
#'
#' @param id,input,output,session Internal parameters for {shiny}.
#'
#' @noRd
#'
#' @importFrom shiny NS tagList
mod_advanced_parameters_ui <- function(id){
ns <- NS(id)
tagList(
chooseSliderSkin("Modern", color = "#ED5565"),
fluidRow(
box(
width = 6,
title = "Threshold options",
status = "orange",
solidHeader = FALSE,
collapsible = FALSE,
sliderInput(
ns("cut_a"),
p("Lower bound for full string-distance match"),
min = 0,
max = 1,
value = 0.92
),
sliderInput(
ns("cut_p"),
p("Lower bound for partial string-distance match"),
min = 0,
max = 1,
value = 0.88
)
),
box(
width = 6,
title = "MLE (Maximum likelihood estimation) options (Not applicable)",
status = "orange",
solidHeader = FALSE,
collapsible = FALSE,
sliderInput(
ns("w_lambda"),
p("Weighting of the MLE and prior estimate for the lambda parameter"),
min = 0,
max = 1,
value = 0
),
sliderInput(
ns("w_pi"),
p("Weighting of the MLE and prior estimate for the pi parameter"),
min = 0,
max = 1,
value = 0
)
)
),
fluidRow(
box(
width = 6,
title = "EM (Expectation maximization) estimation & Dedupe options",
status = "orange",
solidHeader = FALSE,
collapsible = FALSE,
materialSwitch(
inputId = ns("estimate_only"),
label = "estimate.only (Not applicable)",
status = "danger"
),
materialSwitch(
inputId = ns("dedupe_matches"),
label = "dedupe.matches",
status = "danger",
value = TRUE
),
materialSwitch(
inputId = ns("linprog_dedupe"),
label = "linprog.dedupe",
status = "danger"
)
),
box(
width = 6,
title = "Miscellaneous options",
status = "orange",
solidHeader = FALSE,
collapsible = FALSE,
numericInput(ns("n_cores"),
p("The number of cores to parallelize"),
value = 1),
numericInput(ns("tol_em"),
p(
"Convergence tolerance for the EM algorithm"
),
value = 1e-04),
sliderInput(
ns("threshold_match"),
p(
"Lower bound for the posterior probability of a match that will be accepted (Not applicable)"
),
min = 0,
max = 1,
value = 0.85
)
),
)
)
}
#' advanced_parameters Server Functions
#'
#' @noRd
mod_advanced_parameters_server <- function(id, state, session){
moduleServer( id, function(input, output, session){
ns <- session$ns
observe({
# Advanced parameters
state$cut_a <- input$cut_a
state$cut_p <- input$cut_p
state$w_lambda <- input$w_lambda
state$w_pi <- input$w_pi
state$estimate_only <- input$estimate_only
state$dedupe_matches <- input$dedupe_matches
state$linprog_dedupe <- input$linprog_dedupe
state$n_cores <- input$n_cores
state$tol_em <- input$tol_em
state$threshold_match <- input$threshold_match
})
})
}
## To be copied in the UI
# mod_advanced_parameters_ui("advanced_parameters_1")
## To be copied in the server
# mod_advanced_parameters_server("advanced_parameters_1")
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