sim with RF GCM

inst/code/run-simulation.R

@@ -99,7 +99,7 @@ dags <- if (fixed) {
 } else NULL
 
 if (TEST) {
-  ns <- ns[1]
+  ns <- ns[2]
   mods <- mods[1]
   lmods <- lmods[1]
 }

inst/code/vis-simulation.R

@@ -4,7 +4,7 @@
 
 settings <- c("main", "app", "hidden", "link", "wald-extended")
 
-setting <- settings[as.numeric(commandArgs(TRUE))]
+setting <- settings[as.numeric(commandArgs(TRUE))[1]]
 if (is.na(setting))
   setting <- settings[1]
 
@@ -162,6 +162,9 @@ prdat <- res %>%
     fwer = unlist(map2(splpaY, splset, ~ as.numeric(length(setdiff(.y[.y != "Empty"], .x)) > 0))),
   )
 
+prdat %>% group_by(n, mod, type, test) %>%
+  summarize(jaccard = mean(jaccard), fwer = mean(fwer > 0))
+
 if (setting == "hidden") {
   anY <- paste0("X1+X2+X3", unlist(lapply(fobs$dags, \(x) {
     ret <- names(which(x$dag["Y", c("X4", "X5")] == 0))

inst/helpers/R/helpers.R

@@ -135,3 +135,29 @@ vis <- function(mods = tmods, tests = ttests) {
     scale_color_manual(values = c(cols, "Oracle" = "gray60")) +
     scale_fill_manual(values = c(cols, "Oracle" = "gray60"))
 }
+
+RANGER <- function(formula, data, ...) {
+  response <- model.response(model.frame(formula, data))
+  binary <- is.factor(response)
+  tms <- .get_terms(formula)
+  if (identical(tms$me, character(0))) {
+    if (binary) return(glm(formula, data, family = "binomial")) else
+      return(lm(formula, data))
+  }
+  ret <- ranger(formula, data, probability = binary, ...)
+  ret$data <- data
+  ret$response <- if(!binary) response else as.numeric(response) - 1
+  ret$binary <- binary
+  ret
+}
+
+residuals.ranger <- function(object) {
+  if ("glm" %in% class(object))
+    return(residuals.binglm(object))
+  else if ("lm" %in% class(object))
+    return(residuals(object))
+  preds <- predict(object, data = object$data)$predictions
+  if (object$binary)
+    preds <- preds[, 2]
+  object$response - preds
+}

inst/helpers/R/simdesign.R

@@ -41,10 +41,16 @@ ANA <- function(condition, dat, fixed_objects = NULL) {
     kbw <- if (condition$mod == "polr") 0.01 else 0
     oicp <- attr(dat, "oracle_icp")
     pvals <- if (ttype == "kci") {
-      tmp <- cdkci(fixed_objects$resp, fixed_objects$env, fixed_objects$preds,
-                   data = dat, coin = fixed_objects$coin)
-      inv <- attr(tmp, "intersection")
-      tmp
+      tmp <- dicp(as.formula(fixed_objects$fml), data = dat,
+                  env = reformulate(fixed_objects$env),
+                  modFUN = RANGER, type = "residual", test = "gcm.test",
+                  controls = dicp_controls(residuals = residuals.ranger))
+      inv <- tmp$candidate
+      pvalues(tmp, which = "set")
+      # tmp <- cdkci(fixed_objects$resp, fixed_objects$env, fixed_objects$preds,
+      #              data = dat, coin = fixed_objects$coin)
+      # inv <- attr(tmp, "intersection")
+      # tmp
     } else {
       if (condition$mod == "polr") {
         ctrls <- dicp_controls(type = ttype, test = ttest,