add C-RUM

R/app.R

@@ -18,16 +18,20 @@ dcmApp <- function(...) {
                                           href = "https://github.com/wjakethompson/dcm-probs"))),
 
     ## body -----
-    dashboardBody(theme_measr_shiny,
-                  fluidRow(lcdmUI("lcdm")),
-                  fluidRow(dinoaUI("dina", name = "Deterministic Input, Noisy \"And\" Gate (DINA) Response Probabilities")),
-                  fluidRow(dinoaUI("dino", name = "Deterministic Input, Noisy \"Or\" Gate (DINO) Response Probabilities")))
+    dashboardBody(
+      theme_measr_shiny,
+      fluidRow(lcdmUI("lcdm")),
+      fluidRow(dinoaUI("dino", name = "Deterministic Input, Noisy \"Or\" Gate (DINO) Response Probabilities")),
+      fluidRow(dinoaUI("dina", name = "Deterministic Input, Noisy \"And\" Gate (DINA) Response Probabilities")),
+      fluidRow(crumUI("crum"))
+    )
   )
 
   server <- function(input, output, session) {
     lcdmServer("lcdm")
-    dinaServer("dina")
     dinoServer("dino")
+    dinaServer("dina")
+    crumServer("crum")
   }
 
   shinyApp(ui, server, ...)

R/crum.R

@@ -0,0 +1,110 @@
+crumUI <- function(id) {
+  lcdm_parameter_tabs <- tabsetPanel(
+    id = NS(id, "params"),
+    type = "hidden",
+    tabPanel("One",
+             numericInput(NS(id, "l1_0"), HTML("Intercept (&lambda;<sub>i,0</sub>)"),
+                          value = -1.73, step = 0.1),
+             numericInput(NS(id, "l1_11"), HTML("Main effect (&lambda;<sub>i,1(1)</sub>)"),
+                          min = 0, value = 3.93, step = 0.1)
+    ),
+    tabPanel("Two", 
+             numericInput(NS(id, "l2_0"), HTML("Intercept (&lambda;<sub>i,0</sub>)"), value = -1.73),
+             numericInput(NS(id, "l2_11"), HTML("Main effect for Attribute 1 (&lambda;<sub>i,1(1)</sub>)"),
+                          min = 0, value = 2.14, step = 0.1),
+             numericInput(NS(id, "l2_12"), HTML("Main effect for Attribute 2 (&lambda;<sub>i,1(2)</sub>)"),
+                          min = 0, value = 1.32, step = 0.1)
+    ),
+    tabPanel("Three",
+             numericInput(NS(id, "l3_0"), HTML("Intercept (&lambda;<sub>i,0</sub>)"), value = -1.73),
+             numericInput(NS(id, "l3_11"), HTML("Main effect for Attribute 1 (&lambda;<sub>i,1(1)</sub>)"),
+                          min = 0, value = 0.8, step = 0.1),
+             numericInput(NS(id, "l3_12"), HTML("Main effect for Attribute 2 (&lambda;<sub>i,1(2)</sub>)"),
+                          min = 0, value = 0.6, step = 0.1),
+             numericInput(NS(id, "l3_13"), HTML("Main effect for Attribute 3 (&lambda;<sub>i,1(3)</sub>)"),
+                          min = 0, value = 0.9, step = 0.1)
+    )
+  )
+
+  box(title = "Compensatory Reparameterized Unified Model (C-RUM) Response Probabilities",
+      width = 12, solidHeader = TRUE, status = "primary",
+      sidebarLayout(
+        sidebarPanel(width = 4,
+                     selectInput(NS(id, "atts"), "Attributes Measured by the Item",
+                                 choices = c("One", "Two", "Three"),
+                                 selected = "Two"),
+                     p(HTML("<b>Parameter Values (Log-Odds)</b>")),
+                     lcdm_parameter_tabs),
+        mainPanel(width = 8, plotOutput(NS(id, "item_response")))
+      ))
+}
+
+crumServer <- function(id) {
+  moduleServer(id, function(input, output, session) {
+    observeEvent(input$atts, {
+      updateTabsetPanel(inputId = "params", selected = input$atts)
+    })
+
+    probs <- reactive({
+      num_att <- switch(input$atts,
+                        One = 1L,
+                        Two = 2L,
+                        Three = 3L)
+
+      all_input <- reactiveValuesToList(input)
+      params <- tibble::as_tibble(all_input[grepl(paste0("l", num_att),
+                                                  names(all_input))]) |> 
+        tidyr::pivot_longer(dplyr::everything()) |> 
+        tidyr::separate_wider_regex("name",
+                                    c("l[0-9]_", level = "[0-9]",
+                                      attributes = "[0-9]*")) |> 
+        dplyr::rowwise() |> 
+        dplyr::mutate(
+          param = dplyr::case_when(
+            .data$level == "0" ~ "(Intercept)",
+            .data$level == "1" ~ paste0("att",.data$attributes),
+            TRUE ~ paste("att", strsplit(.data$attributes, "")[[1]],
+                         sep = "", collapse = ":"))
+        ) |> 
+        dplyr::ungroup() |> 
+        dplyr::select("param", param_value = "value")
+
+      profiles <- create_profiles(num_att) |> 
+        tibble::rowid_to_column(var = "class_id") |>
+        tidyr::pivot_longer(cols = -"class_id") |>
+        dplyr::summarize(
+          label = paste0("[", paste(.data$value, collapse = ","), "]"),
+          .by = "class_id"
+        ) |>
+        dplyr::arrange("class_id") |> 
+        dplyr::mutate(label = forcats::fct_inorder(.data$label))
+
+      stats::model.matrix(stats::as.formula(paste0("~ .^", max(num_att, 2L))),
+                          create_profiles(num_att)) |> 
+        tibble::as_tibble() |> 
+        tibble::rowid_to_column(var = "class") |> 
+        tidyr::pivot_longer(-"class") |> 
+        dplyr::filter(.data$value == 1L) |> 
+        dplyr::left_join(params, by = c("name" = "param")) |> 
+        dplyr::summarize(log_odds = sum(.data$param_value, na.rm = TRUE), .by = "class") |> 
+        dplyr::mutate(prob = exp(.data$log_odds) / (exp(.data$log_odds) + 1)) |> 
+        dplyr::left_join(profiles, by = c("class" = "class_id"))
+    })
+    output$item_response <- renderPlot({
+      showtext::showtext_begin()
+      probs() |> 
+        dplyr::mutate(
+          col = dplyr::case_when(.data$prob == max(.data$prob) ~ "max",
+                                 .data$prob == min(.data$prob) ~ "min",
+                                 TRUE ~ "mid")
+        ) |> 
+        ggplot(aes(x = .data$label, y = .data$prob)) +
+        geom_col(fill = ggmeasr::palette_measr[4], show.legend = FALSE) +
+        expand_limits(y = c(0, 1)) +
+        labs(x = "Profile", y = "Probability of Correct Response") +
+        ggmeasr::theme_measr() -> p
+      print(p)
+      showtext::showtext_end()
+    }, res = 96)
+  })
+}