report does not work with BayesFactor models

[M-Colley]

Describe the bug
in validObject(.Object) :
ungültiges Objekt der Klasse “dsparseModelMatrix”: superclass "xMatrix" not defined in the environment of the object's class

To Reproduce
This is the code to reproduce the issue:

library(report)
library(readxl)
library(BayesFactor)
library(bayestestR)
library(httr)


# URL of the Excel file
url <- "https://raw.githubusercontent.com/M-Colley/3d-display-comp-vehicle/main/3d-comp-vehicle-main.xlsx"

# Use GET to access the file and save the content to a temporary file
temp_file <- tempfile(fileext = ".xlsx")
download.file(url, temp_file, mode = "wb")

# Use read_excel to read the file
main_df <- read_excel(temp_file)

# View the data
head(main_df)

# Optionally, delete the temporary file if no longer needed
unlink(temp_file)


main_df <- as.data.frame(main_df)

main_df$UserID <- as.factor(main_df$UserID)
main_df$ConditionID <- as.factor(main_df$ConditionID)

# this is the issue
BayesFactor::anovaBF(TLX1 ~ ConditionID + UserID, data = main_df, whichRandom="UserID")  |> bayesfactor_models() |> report()

Expected behaviour
I would have expected report to be able to report this (see https://easystats.github.io/report/reference/report.bayesfactor_models.html). This had already worked in previous versions. (Unofrtunately, i cannot state which change in packages caused this break)

Specifications (please complete the following information):

• All packages are up to date:
  Analyses were conducted using the R Statistical language (version 4.3.2; R Core Team, 2023) on Windows 11 x64 (build 22631)
• effectsize (version 0.8.6; Ben-Shachar MS et al., 2020)
• easystats (version 0.7.0; Lüdecke D et al., 2022)
• see (version 0.8.1; Lüdecke D et al., 2021)
• insight (version 0.19.7; Lüdecke D et al., 2019)
• bayestestR (version 0.13.1; Makowski D et al., 2019)
• modelbased (version 0.8.6; Makowski D et al., 2020)
• report (version 0.5.8; Makowski D et al., 2023)
• BayesFactor (version 0.9.12.4.6; Morey R, Rouder J, 2023)
• R (version 4.3.2; R Core Team, 2023)