evaluateOcc strange behaviour

[Delvis]

I have multiple .R pipelines from 2018 and 2019 that relied on oneClass and are currently not working at the evaluateOcc() step.
In fact, I just tried to run the notebook example from the package in a fresh installation of R and got the same error.

> ocsvm.ev <- evaluateOcc(ocsvm.fit, te.u=te.x, te.y=te.y, allModels=TRUE, positive=1)

Error in if ((class(newdata) == "rasterTiled" | .is.raster(newdata)) & :
the condition has length > 1

I have been trying to debug for a few days without success. Considering that the issue is not only affecting my datasets but also the examples provided by the package I wonder if this can be a new incompatibility between evaluateOcc function and the packages it relies on?

> sessionInfo()
R version 4.2.1 (2022-06-23 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 22621)

Matrix products: default

Random number generation:
 RNG:     Mersenne-Twister 
 Normal:  Inversion 
 Sample:  Rounding 
 
locale:
[1] LC_COLLATE=English_United Kingdom.utf8  LC_CTYPE=English_United Kingdom.utf8   
[3] LC_MONETARY=English_United Kingdom.utf8 LC_NUMERIC=C                           
[5] LC_TIME=English_United Kingdom.utf8    

attached base packages:
[1] parallel  stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] doParallel_1.0.17 iterators_1.0.14  foreach_1.5.2     oneClass_0.5.0   
 [5] kernlab_0.9-31    pROC_1.18.0       caret_6.0-93      lattice_0.20-45  
 [9] e1071_1.7-12      zoo_1.8-11        ggplot2_3.3.6     maptools_1.1-5   
[13] raster_3.6-3      sp_1.5-0         

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.9           lubridate_1.8.0      listenv_0.8.0       
 [4] class_7.3-20         assertthat_0.2.1     digest_0.6.29       
 [7] ipred_0.9-13         utf8_1.2.2           parallelly_1.32.1   
[10] R6_2.5.1             plyr_1.8.7           hardhat_1.2.0       
[13] stats4_4.2.1         pillar_1.8.1         rlang_1.0.6         
[16] rstudioapi_0.14      data.table_1.14.4    rpart_4.1.19        
[19] Matrix_1.5-1         splines_4.2.1        rgdal_1.5-32        
[22] foreign_0.8-83       gower_1.0.0          stringr_1.4.1       
[25] munsell_0.5.0        proxy_0.4-27         compiler_4.2.1      
[28] pkgconfig_2.0.3      dismo_1.3-9          globals_0.16.1      
[31] nnet_7.3-18          mmap_0.6-19          tidyselect_1.2.0    
[34] gridExtra_2.3        tibble_3.1.8         prodlim_2019.11.13  
[37] codetools_0.2-18     viridisLite_0.4.1    fansi_1.0.3         
[40] future_1.28.0        dplyr_1.0.10         withr_2.5.0         
[43] MASS_7.3-58.1        recipes_1.0.2        ModelMetrics_1.2.2.2
[46] grid_4.2.1           nlme_3.1-160         gtable_0.3.1        
[49] lifecycle_1.0.3      DBI_1.1.3            magrittr_2.0.3      
[52] scales_1.2.1         future.apply_1.9.1   cli_3.4.1           
[55] stringi_1.7.8        reshape2_1.4.4       viridis_0.6.2       
[58] timeDate_4021.106    spatial.tools_1.6.2  generics_0.1.3      
[61] vctrs_0.4.2          lava_1.7.0           tools_4.2.1         
[64] glue_1.6.2           purrr_0.3.5          abind_1.4-5         
[67] survival_3.4-0       colorspace_2.0-3     terra_1.6-17

Best,
J