cran fix

NAMESPACE

@@ -31,6 +31,7 @@ S3method(get_group_names,mblogit)
 S3method(get_group_names,mlm)
 S3method(get_group_names,multinom)
 S3method(get_group_names,polr)
+S3method(get_model_matrix,default)
 S3method(get_predict,MCMCglmm)
 S3method(get_predict,afex_aov)
 S3method(get_predict,betareg)
@@ -48,6 +49,7 @@ S3method(get_predict,glimML)
 S3method(get_predict,glm)
 S3method(get_predict,glmmPQL)
 S3method(get_predict,glmmTMB)
+S3method(get_predict,hxlr)
 S3method(get_predict,inferences_simulation)
 S3method(get_predict,lm)
 S3method(get_predict,lmerMod)

NEWS.md

@@ -1,5 +1,6 @@
 # marginaleffects 0.11.2
 
+* `vcov()` and `coef()` methods for `marginaleffects` objects.
 * Strings in `wts` are accepted with the `by` argument.
 * `predictions()` and `avg_predictions()` no longer use an automatic backtransformation for GLM models unless `hypothesis` is `NULL`.
 * `vcov()` can be used to retrieve a full variance-covariance matrix from objects produced by `comparisons()`, `slopes()`, `predictions()`, or `marginal_means()` objects.

R/get_model_matrix.R

@@ -11,17 +11,18 @@ get_model_matrix <- function(model, newdata) {
 
 #' @rdname get_model_matrix
 #' @keywords internal
-get_model_matrix.default <- function(object, newdata) {
+#' @export
+get_model_matrix.default <- function(model, newdata) {
 
     # faster
-    if (class(object)[1] %in% c("lm", "glm")) { 
-        out <- hush(stats::model.matrix(object, data = newdata))
+    if (class(model)[1] %in% c("lm", "glm")) { 
+        out <- hush(stats::model.matrix(model, data = newdata))
     # more general
     } else { 
-        out <- hush(insight::get_modelmatrix(object, data = newdata))
+        out <- hush(insight::get_modelmatrix(model, data = newdata))
     }
 
-    beta <- get_coef(object)
+    beta <- get_coef(model)
     if (!isTRUE(nrow(out) == nrow(newdata)) || !isTRUE(ncol(out) == length(beta))) {
         return(NULL)
     } else {

R/methods.R

@@ -1,7 +1,7 @@
 #' @noRd
 #' @export
-vcov.comparisons <- function(x) {
-    attr(x, "jacobian") %*% attr(x, "vcov") %*% t(attr(x, "jacobian"))
+vcov.comparisons <- function(object, ...) {
+    attr(object, "jacobian") %*% attr(object, "vcov") %*% t(attr(object, "jacobian"))
 }
 
 
@@ -22,9 +22,9 @@ vcov.marginalmeans <- vcov.comparisons
 
 #' @export
 #' @noRd
-coef.comparisons <- function(x) {
-  if (!is.null(x$estimate)) {
-    return(x$estimate)
+coef.comparisons <- function(object, ...) {
+  if (!is.null(object$estimate)) {
+    return(object$estimate)
   } else {
     stop("The input object does not contain an 'estimate' element.")
   }

R/methods_crch.R

@@ -62,4 +62,6 @@ set_coef.hxlr <- function(model, coefs, ...) {
 }
 
 
+#' @export
+#' @noRd
 get_predict.hxlr <- get_predict.crch