experiments with teal. usage examples are sparse

DESCRIPTION

@@ -35,7 +35,11 @@ Imports:
     qqplotr,
     see,
     patchwork,
-    easystats
+    easystats,
+    DHARMa,
+    teal,
+    IDEAFilter,
+    sparkline
 Suggests: 
     styler,
     devtools,

NAMESPACE

@@ -9,6 +9,7 @@ export(factorize)
 export(format_writer)
 export(getfun)
 export(index_embed)
+export(m_datafileUI)
 export(modify_qmd)
 export(read_input)
 export(regression_model)

R/helpers.R

@@ -126,3 +126,27 @@ dummy_Imports <- function() {
     )
   #https://github.com/hadley/r-pkgs/issues/828
   }
+
+
+file_export <- function(data,output.format=c("df","teal"),filename){
+  output.format <- match.arg(output.format)
+
+  filename <- gsub("-","_",filename)
+
+  if (output.format=="teal"){
+    out <- within(
+      teal_data(),
+      {
+        assign(name, value |> dplyr::bind_cols())
+      },
+      value = data,
+      name = filename
+    )
+
+    datanames(out) <- filename
+  } else if (output.format=="df"){
+    out <- data
+  }
+
+  out
+}

R/modules.R

@@ -0,0 +1,188 @@
+#' Shiny UI module to load a data file
+#'
+#' @param id id
+#'
+#' @return shiny UI
+#' @export
+#'
+m_datafileUI <- function(id) {
+  ns <- NS(id)
+  shiny::tagList(
+    shiny::fileInput(
+      inputId = ns("file"),
+      label = "Upload a file",
+      multiple = FALSE,
+      accept = c(
+        ".csv",
+        ".xlsx",
+        ".xls",
+        ".dta",
+        ".ods",
+        ".rds"
+      )
+    ),
+    shiny::h4("Parameter specifications"),
+    shiny::helpText(em("Select the desired variables and press 'Submit'")),
+    shiny::uiOutput(ns("include_vars")),
+    DT::DTOutput(ns("data_input")),
+    shiny::actionButton(ns("submit"), "Submit")
+  )
+}
+
+m_datafileServer <- function(id, output.format = "df") {
+  ns <- shiny::NS(id)
+  shiny::moduleServer(id, function(input, output, session, ...) {
+    ns <- shiny::NS(id)
+    ds <- shiny::reactive({
+      REDCapCAST::read_input(input$file$datapath) |> REDCapCAST::parse_data()
+    })
+
+    output$include_vars <- shiny::renderUI({
+      shiny::req(input$file)
+      selectizeInput(
+        inputId = ns("include_vars"),
+        selected = NULL,
+        label = "Covariables to include",
+        choices = colnames(ds()),
+        multiple = TRUE
+      )
+    })
+
+    base_vars <- shiny::reactive({
+      if (is.null(input$include_vars)) {
+        out <- colnames(ds())
+      } else {
+        out <- input$include_vars
+      }
+      return(out)
+    })
+
+    output$data_input <-
+      DT::renderDT({
+        shiny::req(input$file)
+        ds()[base_vars()]
+      })
+
+    shiny::eventReactive(input$submit, {
+      shiny::req(input$file)
+
+      file_export(
+        data = ds()[base_vars()] |> REDCapCAST::numchar2fct(),
+        output.format = output.format,
+        filename = tools::file_path_sans_ext(input$file$name)
+      )
+    })
+  })
+}
+
+
+m_redcap_readUI <- function(id) {
+  ns <- shiny::NS(id)
+  shiny::tagList(
+    shiny::textInput(
+      inputId = ns("uri"),
+      label = "URI",
+      value = "https://redcap.your.institution/api/"
+    ),
+    shiny::textInput(
+      inputId = ns("api"),
+      label = "API token",
+      value = ""
+    ),
+    shiny::tableOutput(outputId = ns("table")),
+    shiny::uiOutput(outputId = ns("fields")),
+    shiny::uiOutput(outputId = ns("instruments")),
+    shiny::uiOutput(outputId = ns("arms")),
+    shiny::actionButton(inputId = ns("submit"), "Submit")
+  )
+}
+
+m_redcap_readServer <- function(id, output.format="df") {
+  ns <- shiny::NS(id)
+  shiny::moduleServer(
+    id,
+    function(input, output, session,...) {
+      ns <- shiny::NS(id)
+      instr <- shiny::reactive({
+        shiny::req(input$api)
+        shiny::req(input$uri)
+        REDCapR::redcap_instruments(redcap_uri = input$uri, token = input$api)
+      })
+
+      output$instruments <- shiny::renderUI({
+        shiny::selectizeInput(
+          inputId = ns("instruments"),
+          # inputId = "instruments",
+          selected = NULL,
+          label = "Instruments to include",
+          choices = instr()[["data"]][[1]],
+          multiple = TRUE
+        )
+      })
+
+      dd <- shiny::reactive({
+        shiny::req(input$api)
+        shiny::req(input$uri)
+        REDCapR::redcap_metadata_read(redcap_uri = input$uri, token = input$api)
+      })
+
+      output$fields <- shiny::renderUI({
+        shiny::selectizeInput(
+          # inputId = "fields",
+          inputId = ns("fields"),
+          selected = NULL,
+          label = "Fields/variables to include",
+          choices = dd()[["data"]][[1]],
+          multiple = TRUE
+        )
+      })
+
+      arms <- shiny::reactive({
+        shiny::req(input$api)
+        shiny::req(input$uri)
+        REDCapR::redcap_event_read(redcap_uri = input$uri, token = input$api)
+      })
+
+      output$arms <- shiny::renderUI({
+        shiny::selectizeInput(
+          # inputId = "arms",
+          inputId = ns("arms"),
+          selected = NULL,
+          label = "Arms/events to include",
+          choices = arms()[["data"]][[3]],
+          multiple = TRUE
+        )
+      })
+
+      output$table <- shiny::renderTable({
+        dd()[["data"]]
+      })
+
+      shiny::eventReactive(input$submit, {
+        shiny::req(input$api)
+        data <- REDCapCAST::read_redcap_tables(
+          uri = input$uri,
+          token = input$api,
+          fields = unique(c(dd()[["data"]][[1]][1], input$fields)),
+          forms = input$instruments,
+          events = input$arms,
+          raw_or_label = "both"
+        )
+
+        info <- REDCapR::redcap_project_info_read(redcap_uri = input$uri,
+                                                  token = input$api)
+
+        data |>
+          REDCapCAST::redcap_wider() |>
+          REDCapCAST::suffix2label() |>
+          REDCapCAST::as_factor() |>
+          dplyr::select(-dplyr::ends_with("_complete")) |>
+          dplyr::select(-dplyr::any_of(dd()[["data"]][[1]][1])) |>
+          file_export(
+            output.format = output.format,
+            filename = info$data$project_title
+          )
+      })
+    }
+  )
+}

inst/apps/data_analysis/rsconnect/shinyapps.io/agdamsbo/webResearch.dcf

@@ -5,6 +5,6 @@ account: agdamsbo
 server: shinyapps.io
 hostUrl: https://api.shinyapps.io/v1
 appId: 13276335
-bundleId: 9433115
+bundleId: 9436643
 url: https://agdamsbo.shinyapps.io/webResearch/
 version: 1

inst/apps/data_analysis/server.R

@@ -22,6 +22,8 @@ library(broom.helpers)
 library(REDCapCAST)
 library(easystats)
 library(patchwork)
+library(DHARMa)
+library(IDEAFilter)
 # if (!requireNamespace("webResearch")) {
 #   devtools::install_github("agdamsbo/webResearch", quiet = TRUE, upgrade = "never")
 # }
@@ -123,11 +125,9 @@ server <- function(input, output, session) {
     return(out)
   })
 
-  # output$data.input <- shiny::renderTable({
-  #   utils::head(ds(), 20)
-  # })
-
-  output$data.input <- DT::renderDT({
+  output$data.input <-
+    DT::renderDT({
+      shiny::req(input$file)
       ds()[base_vars()]
     })
 
@@ -234,7 +234,8 @@ server <- function(input, output, session) {
           })(),
         table2 = models |>
           purrr::map(regression_table) |>
-          tbl_merge()
+          tbl_merge(),
+        input = input
       )
 
       output$table1 <- gt::render_gt(

inst/apps/data_analysis/ui.R

@@ -1,5 +1,7 @@
 library(shiny)
 library(bslib)
+library(IDEAFilter)
+library(teal)
 requireNamespace("gt")
 
 panels <- list(
@@ -7,8 +9,8 @@ panels <- list(
     title = "Data overview",
     # shiny::uiOutput("data.classes"),
     # shiny::uiOutput("data.input"),
-    shiny::p("Classes of uploaded data"),
-    gt::gt_output("data.classes"),
+    # shiny::p("Classes of uploaded data"),
+    # gt::gt_output("data.classes"),
     shiny::p("Subset data"),
     DT::DTOutput("data.input")
       ),
@@ -159,7 +161,8 @@ ui <- bslib::page(
           label_busy = "Working...",
           icon_busy = fontawesome::fa_i("arrows-rotate",
             class = "fa-spin",
-                                        "aria-hidden" = "true"),
+            "aria-hidden" = "true"
+          ),
           type = "primary",
           auto_reset = TRUE
         ),

inst/apps/redcap_module/rc_modules.R

@@ -0,0 +1,103 @@
+m_redcap_readUI <- function(id) {
+  ns <- NS(id)
+  tagList(
+    shiny::textInput(
+      inputId = "uri",
+      label = "URI",
+      value = "https://redcap.your.institution/api/"
+    ),
+    shiny::textInput(
+      inputId = "api",
+      label = "API token",
+      value = ""
+    ),
+    shiny::tableOutput(outputId = ns("table")),
+    shiny::uiOutput(outputId = ns("fields")),
+    shiny::uiOutput(outputId = ns("instruments")),
+    shiny::uiOutput(outputId = ns("arms")),
+    shiny::actionButton(inputId = ns("submit"), "Submit")
+  )
+}
+
+m_redcap_readServer <- function(id) {
+  ns <- NS(id)
+  moduleServer(
+    id,
+    function(input, output, session) {
+      ns <- NS(id)
+      instr <- shiny::reactive({
+        shiny::req(input$api)
+        shiny::req(input$uri)
+        REDCapR::redcap_instruments(redcap_uri = input$uri, token = input$api)
+      })
+
+      output$instruments <- shiny::renderUI({
+        shiny::selectizeInput(
+          inputId = ns("instruments"),
+          selected = NULL,
+          label = "Instruments to include",
+          choices = instr()[["data"]][[1]],
+          multiple = TRUE
+        )
+      })
+
+      dd <- shiny::reactive({
+        shiny::req(input$api)
+        shiny::req(input$uri)
+        REDCapR::redcap_metadata_read(redcap_uri = input$uri, token = input$api)
+      })
+
+      output$fields <- shiny::renderUI({
+        shiny::selectizeInput(
+          inputId = ns("fields"),
+          selected = NULL,
+          label = "Fields/variables to include",
+          choices = dd()[["data"]][[1]],
+          multiple = TRUE
+        )
+      })
+
+      arms <- shiny::reactive({
+        shiny::req(input$api)
+        shiny::req(input$uri)
+        REDCapR::redcap_event_read(redcap_uri = input$uri, token = input$api)
+      })
+
+      output$arms <- shiny::renderUI({
+        shiny::selectizeInput(
+          inputId = ns("arms"),
+          selected = NULL,
+          label = "Arms/events to include",
+          choices = arms()[["data"]][[3]],
+          multiple = TRUE
+        )
+      })
+
+      output$table <- shiny::renderTable({
+        dd()[["data"]]
+      })
+
+      shiny::eventReactive(input$submit, {
+        shiny::req(input$api)
+        data <- REDCapCAST::read_redcap_tables(
+          uri=input$uri,
+          token = input$api,
+          fields = unique(c(dd()[["data"]][[1]][1],input$fields)),
+          forms = input$instruments,
+          events = input$arms,
+          raw_or_label = "both"
+        )
+
+        info <- REDCapR::redcap_project_info_read(redcap_uri = input$uri, token = input$api)
+        filename <- info$data$project_title
+
+        data |>
+          REDCapCAST::redcap_wider() |>
+          REDCapCAST::suffix2label() |>
+          REDCapCAST::as_factor() |>
+          dplyr::select(-dplyr::ends_with("_complete")) |>
+          dplyr::select(-dplyr::any_of(dd()[["data"]][[1]][1]))
+      })
+    }
+  )
+}

inst/apps/redcap_module/server.R

@@ -0,0 +1,91 @@
+library(REDCapCAST)
+library(REDCapR)
+library(shiny)
+
+# ns <- shiny::NS(id)
+
+
+
+
+server <- function(input, output, session) {
+  # ns <- NS(id)
+
+  instr <- shiny::reactive({
+    shiny::req(input$api)
+    shiny::req(input$uri)
+    REDCapR::redcap_instruments(redcap_uri = input$uri, token = input$api)
+  })
+
+  output$instruments <- shiny::renderUI({
+    shiny::selectizeInput(
+      inputId = "instruments",
+      selected = NULL,
+      label = "Instruments to include",
+      choices = instr()[["data"]][[1]],
+      multiple = TRUE
+    )
+  })
+
+  dd <- shiny::reactive({
+    shiny::req(input$api)
+    shiny::req(input$uri)
+    REDCapR::redcap_metadata_read(redcap_uri = input$uri, token = input$api)
+  })
+
+  output$fields <- shiny::renderUI({
+    shiny::selectizeInput(
+      inputId = "fields",
+      selected = NULL,
+      label = "Fields/variables to include",
+      choices = dd()[["data"]][[1]],
+      multiple = TRUE
+    )
+  })
+
+  arms <- shiny::reactive({
+    shiny::req(input$api)
+    shiny::req(input$uri)
+    REDCapR::redcap_event_read(redcap_uri = input$uri, token = input$api)
+  })
+
+  output$arms <- shiny::renderUI({
+    shiny::selectizeInput(
+      inputId = "arms",
+      selected = NULL,
+      label = "Arms/events to include",
+      choices = arms()[["data"]][[3]],
+      multiple = TRUE
+    )
+  })
+
+  output$table <- shiny::renderTable({
+    dd()[["data"]]
+  })
+
+  data <- shiny::eventReactive(input$submit, {
+    browser()
+    shiny::req(input$api)
+    data <- REDCapCAST::read_redcap_tables(
+      uri = input$uri,
+      token = input$api,
+      fields = unique(c(dd()[["data"]][[1]][1], input$fields)),
+      forms = input$instruments,
+      events = input$arms,
+      raw_or_label = "both"
+    )
+
+    info <- REDCapR::redcap_project_info_read(redcap_uri = input$uri, token = input$api)
+    filename <- info$data$project_title
+
+    data |>
+      REDCapCAST::redcap_wider() |>
+      REDCapCAST::suffix2label() |>
+      REDCapCAST::as_factor() |>
+      dplyr::select(-dplyr::ends_with("_complete")) |>
+      dplyr::select(-dplyr::any_of(dd()[["data"]][[1]][1]))
+  })
+
+  output$export <- DT::renderDT({
+    data()
+  })
+}

inst/apps/redcap_module/ui.R

@@ -0,0 +1,23 @@
+library(REDCapCAST)
+library(REDCapR)
+library(shiny)
+
+ui <- shiny::fluidPage(
+  # shiny::helpText("Submit URL and API token to browse download options"),
+  shiny::textInput(
+    inputId = "uri",
+    label = "URI",
+    value = "https://redcap.your.institution/api/"
+  ),
+  shiny::textInput(
+    inputId = "api",
+    label = "API token",
+    value = ""
+  ),
+  shiny::tableOutput("table"),
+  shiny::uiOutput("fields"),
+  shiny::uiOutput("instruments"),
+  shiny::uiOutput("arms"),
+  shiny::actionButton("submit", "Submit"),
+  DT::DTOutput("export")
+)

inst/apps/teal_test/app.R

@@ -0,0 +1,113 @@
+library(teal)
+library(teal.modules.general)
+library(teal.widgets)
+library(readr)
+library(MASS)
+library(stats)
+library(gtsummary)
+library(gt)
+library(openxlsx2)
+library(haven)
+library(readODS)
+library(shiny)
+library(bslib)
+library(assertthat)
+library(dplyr)
+library(quarto)
+library(here)
+library(broom)
+library(broom.helpers)
+library(REDCapCAST)
+library(easystats)
+library(patchwork)
+library(DHARMa)
+# library(IDEAFilter)
+# if (!requireNamespace("webResearch")) {
+#   devtools::install_github("agdamsbo/webResearch", quiet = TRUE, upgrade = "never")
+# }
+# library(webResearch)
+
+if (file.exists(here::here("functions.R"))) {
+  source(here::here("functions.R"))
+}
+
+data_upload <- teal_data_module(
+  ui <- function(id) {
+    ns <- NS(id)
+    shiny::fluidPage(
+      shiny::radioButtons(
+        inputId = "import",
+        label = "Specify categorical variables?",
+        selected = "no",
+        inline = TRUE,
+        choices = list(
+          "Upload file" = "file",
+          "Export from REDCap" = "redcap"
+        )
+      ),
+      shiny::conditionalPanel(
+        condition = "input.import=='file'",
+      m_datafileUI(id)
+      ),
+      shiny::conditionalPanel(
+        condition = "input.import=='redcap'",
+        m_redcap_readUI(id)
+      )
+    )
+  },
+  server = function(id) {
+    ns <- NS(id)
+    moduleServer(id, function(input, output, session) {
+    shiny::reactive({
+    if (input$import == "file") {
+    m_datafileServer(id, output.format = "teal")
+      } else {
+        m_redcap_readServer(id, output.format = "teal")
+      }
+    })
+    })
+  }
+)
+
+tm_variable_browser_module <- tm_variable_browser(
+  label = "Variable browser",
+  ggplot2_args = ggplot2_args(
+    labs = list(subtitle = "Plot generated by Variable Browser Module")
+  )
+)
+
+
+filters <- teal::teal_slices()
+
+app_source <- "https://github.com/agdamsbo/webresearch"
+gh_issues_page <- "https://github.com/agdamsbo/webresearch/issues"
+
+header <- tags$span(
+  style = "display: flex; align-items: center; justify-content: space-between; margin: 10px 0 10px 0;",
+  tags$span("webResearch (teal)", style = "font-size: 30px;") # ,
+  # tags$span(
+  #   style = "display: flex; align-items: center;",
+  #   tags$img(src = nest_logo, alt = "NEST logo", height = "45px", style = "margin-right:10px;"),
+  #   tags$span(style = "font-size: 24px;", "agdamsbo")
+  # )
+)
+
+footer <- tags$p(
+  "This teal app was developed by AGDamsbo using the {teal} framework for Shiny apps:",
+  tags$a(href = app_source, target = "_blank", "Source Code"), ", ",
+  tags$a(href = gh_issues_page, target = "_blank", "Report Issues")
+)
+
+app <- init(
+  data = data_upload,
+  filter = filters,
+  modules = modules(
+    tm_data_table("Data Table"),
+    tm_variable_browser_module
+  ),
+  title = build_app_title("webResearch (teal)"),
+  header = header,
+  footer = footer
+)
+
+shinyApp(app$ui, app$server)

man/m_datafileUI.Rd

@@ -0,0 +1,17 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/modules.R
+\name{m_datafileUI}
+\alias{m_datafileUI}
+\title{Shiny UI module to load a data file}
+\usage{
+m_datafileUI(id)
+}
+\arguments{
+\item{id}{id}
+}
+\value{
+shiny UI
+}
+\description{
+Shiny UI module to load a data file
+}

renv.lock

@@ -19,6 +19,27 @@
       ],
       "Hash": "53a0299b56b4cbe418b12e3b65587211"
     },
+    "DHARMa": {
+      "Package": "DHARMa",
+      "Version": "0.4.7",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "Matrix",
+        "R",
+        "ape",
+        "gap",
+        "grDevices",
+        "graphics",
+        "lme4",
+        "lmtest",
+        "parallel",
+        "qgam",
+        "stats",
+        "utils"
+      ],
+      "Hash": "1ce015f138dd74b3695fc60a86fcce98"
+    },
     "DT": {
       "Package": "DT",
       "Version": "0.33",
@@ -160,6 +181,33 @@
       ],
       "Hash": "6b868847b365672d6c1677b1608da9ed"
     },
+    "RcppEigen": {
+      "Package": "RcppEigen",
+      "Version": "0.3.4.0.2",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "Rcpp",
+        "stats",
+        "utils"
+      ],
+      "Hash": "4ac8e423216b8b70cb9653d1b3f71eb9"
+    },
+    "Rdpack": {
+      "Package": "Rdpack",
+      "Version": "2.6.2",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "methods",
+        "rbibutils",
+        "tools",
+        "utils"
+      ],
+      "Hash": "a9e2118c664c2cd694f03de074e8d4b3"
+    },
     "V8": {
       "Package": "V8",
       "Version": "6.0.0",
@@ -173,6 +221,25 @@
       ],
       "Hash": "6603bfcbc7883a5fed41fb13042a3899"
     },
+    "ape": {
+      "Package": "ape",
+      "Version": "5.8",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "Rcpp",
+        "digest",
+        "graphics",
+        "lattice",
+        "methods",
+        "nlme",
+        "parallel",
+        "stats",
+        "utils"
+      ],
+      "Hash": "16b5ff4dff0ead9ea955f62f794b1535"
+    },
     "askpass": {
       "Package": "askpass",
       "Version": "1.2.1",
@@ -270,6 +337,18 @@
       "Repository": "CRAN",
       "Hash": "d972ef991d58c19e6efa71b21f5e144b"
     },
+    "boot": {
+      "Package": "boot",
+      "Version": "1.3-30",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "graphics",
+        "stats"
+      ],
+      "Hash": "96abeed416a286d4a0f52e550b612343"
+    },
     "broom": {
       "Package": "broom",
       "Version": "1.0.7",
@@ -526,6 +605,17 @@
       ],
       "Hash": "e8ba62486230951fcd2b881c5be23f96"
     },
+    "data.table": {
+      "Package": "data.table",
+      "Version": "1.16.2",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "methods"
+      ],
+      "Hash": "2e00b378fc3be69c865120d9f313039a"
+    },
     "datawizard": {
       "Package": "datawizard",
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@@ -724,6 +814,31 @@
       ],
       "Hash": "7f48af39fa27711ea5fbd183b399920d"
     },
+    "gap": {
+      "Package": "gap",
+      "Version": "1.6",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "Rdpack",
+        "dplyr",
+        "gap.datasets",
+        "ggplot2",
+        "plotly"
+      ],
+      "Hash": "4db3fe42566c96213b8bcb7bf71a43f6"
+    },
+    "gap.datasets": {
+      "Package": "gap.datasets",
+      "Version": "0.0.6",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R"
+      ],
+      "Hash": "779651ac2943370c5453c2d907429fc9"
+    },
     "generics": {
       "Package": "generics",
       "Version": "0.1.3",
@@ -1153,6 +1268,45 @@
       ],
       "Hash": "b8552d117e1b808b09a832f589b79035"
     },
+    "lme4": {
+      "Package": "lme4",
+      "Version": "1.1-35.5",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "MASS",
+        "Matrix",
+        "R",
+        "Rcpp",
+        "RcppEigen",
+        "boot",
+        "graphics",
+        "grid",
+        "lattice",
+        "methods",
+        "minqa",
+        "nlme",
+        "nloptr",
+        "parallel",
+        "splines",
+        "stats",
+        "utils"
+      ],
+      "Hash": "16a08fc75007da0d08e0c0388c7c33e6"
+    },
+    "lmtest": {
+      "Package": "lmtest",
+      "Version": "0.9-40",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "graphics",
+        "stats",
+        "zoo"
+      ],
+      "Hash": "c6fafa6cccb1e1dfe7f7d122efd6e6a7"
+    },
     "magrittr": {
       "Package": "magrittr",
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@@ -1214,6 +1368,16 @@
       ],
       "Hash": "18e9c28c1d3ca1560ce30658b22ce104"
     },
+    "minqa": {
+      "Package": "minqa",
+      "Version": "1.2.8",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "Rcpp"
+      ],
+      "Hash": "785ef8e22389d4a7634c6c944f2dc07d"
+    },
     "minty": {
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@@ -1270,6 +1434,13 @@
       ],
       "Hash": "ccbb8846be320b627e6aa2b4616a2ded"
     },
+    "nloptr": {
+      "Package": "nloptr",
+      "Version": "2.1.1",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Hash": "27550641889a3abf3aec4d91186311ec"
+    },
     "opdisDownsampling": {
       "Package": "opdisDownsampling",
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@@ -1418,6 +1589,49 @@
       ],
       "Hash": "01f28d4278f15c76cddbea05899c5d6f"
     },
+    "plotly": {
+      "Package": "plotly",
+      "Version": "4.10.4",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "RColorBrewer",
+        "base64enc",
+        "crosstalk",
+        "data.table",
+        "digest",
+        "dplyr",
+        "ggplot2",
+        "htmltools",
+        "htmlwidgets",
+        "httr",
+        "jsonlite",
+        "lazyeval",
+        "magrittr",
+        "promises",
+        "purrr",
+        "rlang",
+        "scales",
+        "tibble",
+        "tidyr",
+        "tools",
+        "vctrs",
+        "viridisLite"
+      ],
+      "Hash": "a1ac5c03ad5ad12b9d1597e00e23c3dd"
+    },
+    "plyr": {
+      "Package": "plyr",
+      "Version": "1.8.9",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "Rcpp"
+      ],
+      "Hash": "6b8177fd19982f0020743fadbfdbd933"
+    },
     "pracma": {
       "Package": "pracma",
       "Version": "2.4.4",
@@ -1511,6 +1725,22 @@
       ],
       "Hash": "1cba04a4e9414bdefc9dcaa99649a8dc"
     },
+    "qgam": {
+      "Package": "qgam",
+      "Version": "1.3.4",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "doParallel",
+        "grDevices",
+        "mgcv",
+        "parallel",
+        "plyr",
+        "shiny"
+      ],
+      "Hash": "e3bd5ade848251657381d2a0668def59"
+    },
     "qqconf": {
       "Package": "qqconf",
       "Version": "1.3.2",
@@ -1570,6 +1800,18 @@
       ],
       "Hash": "5e3c5dc0b071b21fa128676560dbe94d"
     },
+    "rbibutils": {
+      "Package": "rbibutils",
+      "Version": "2.3",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "tools",
+        "utils"
+      ],
+      "Hash": "dfc034a172fd88fc66b1a703894c4185"
+    },
     "reactR": {
       "Package": "reactR",
       "Version": "0.6.1",
@@ -2138,6 +2380,21 @@
       "Source": "Repository",
       "Repository": "CRAN",
       "Hash": "fcc4bd8e6da2d2011eb64a5e5cc685ab"
+    },
+    "zoo": {
+      "Package": "zoo",
+      "Version": "1.8-12",
+      "Source": "Repository",
+      "Repository": "CRAN",
+      "Requirements": [
+        "R",
+        "grDevices",
+        "graphics",
+        "lattice",
+        "stats",
+        "utils"
+      ],
+      "Hash": "5c715954112b45499fb1dadc6ee6ee3e"
     }
   }
 }