warpset error

[france-hub]

Hello!Thanks for flowStats!

In the last two years I have been using warpSet to normalize my flow cytometry data and I have used this line of code
fs <- warpSet(fs, stains = antigen[c(3,4,5,9,17,18,20)])

where

antigen[c(3,4,5,9,17,18,20)]
are the channels I want to normalize
[1] "CD8" "GZMK" "GZMB" "Ki67" "Tbet" "TCF1" "Eomes"

Lately I am getting the following error:

Estimating landmarks for channel Eomes ... Registering curves for parameter CD8 ... Error in landmarkreg(fdobj, landmarks, WfdPar = WfdPar, monwrd = monwrd, : unused argument (monwrd = monwrd)

Could you please help me understanding why?
Thanks!

> sessionInfo()
R version 4.1.2 (2021-11-01)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.6 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8       
 [4] LC_COLLATE=en_US.UTF-8     LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                  LC_ADDRESS=C              
[10] LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats4    stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] ggpubr_0.4.0                flowStats_4.7.2             readxl_1.4.0               
 [4] knn.covertree_1.0           slingshot_2.2.1             TrajectoryUtils_1.2.0      
 [7] princurve_2.1.6             ggrepel_0.9.1               reshape2_1.4.4             
[10] ggcyto_1.22.0               flowWorkspace_4.6.0         ncdfFlow_2.40.0            
[13] BH_1.78.0-0                 RcppArmadillo_0.11.1.1.0    scater_1.22.0              
[16] scran_1.22.1                scuttle_1.4.0               stringr_1.4.0              
[19] diffcyt_1.14.0              CATALYST_1.18.1             SingleCellExperiment_1.16.0
[22] SummarizedExperiment_1.24.0 Biobase_2.54.0              GenomicRanges_1.46.1       
[25] GenomeInfoDb_1.30.1         IRanges_2.28.0              S4Vectors_0.32.4           
[28] BiocGenerics_0.40.0         MatrixGenerics_1.6.0        matrixStats_0.62.0         
[31] uwot_0.1.11                 Matrix_1.4-1                RColorBrewer_1.1-3         
[34] ggthemes_4.2.4              dplyr_1.0.9                 ggplot2_3.3.6              
[37] cluster_2.1.3               FlowSOM_2.2.0               igraph_1.3.1               
[40] cytofCore_0.4               flowCore_2.6.0              devtools_2.4.3             
[43] usethis_2.1.6               rstudioapi_0.13            

loaded via a namespace (and not attached):
  [1] scattermore_0.8             tidyr_1.2.0                 irlba_2.3.5                
  [4] multcomp_1.4-19             DelayedArray_0.20.0         data.table_1.14.2          
  [7] RCurl_1.98-1.6              doParallel_1.0.17           generics_0.1.2             
 [10] ScaledMatrix_1.2.0          callr_3.7.0                 cowplot_1.1.1              
 [13] TH.data_1.1-1               ggpointdensity_0.1.0        xml2_1.3.3                 
 [16] assertthat_0.2.1            viridis_0.6.2               DEoptimR_1.0-11            
 [19] fansi_1.0.3                 Rgraphviz_2.38.0            DBI_1.1.2                  
 [22] purrr_0.3.4                 ellipsis_0.3.2              ks_1.13.5                  
 [25] ggnewscale_0.4.7            backports_1.4.1             cytolib_2.6.2              
 [28] RcppParallel_5.1.5          sparseMatrixStats_1.6.0     vctrs_0.4.1                
 [31] remotes_2.4.2               abind_1.4-5                 cachem_1.0.6               
 [34] RcppEigen_0.3.3.9.2         withr_2.5.0                 ggforce_0.3.3              
 [37] aws.signature_0.6.0         robustbase_0.95-0           prettyunits_1.1.1          
 [40] mclust_5.4.10               mnormt_2.1.0                crayon_1.5.1               
 [43] drc_3.0-1                   edgeR_3.36.0                pkgconfig_2.0.3            
 [46] tweenr_1.0.2                nlme_3.1-155                vipor_0.4.5                
 [49] pkgload_1.2.4               rlang_1.0.2                 lifecycle_1.0.1            
 [52] sandwich_3.0-1              rsvd_1.0.5                  cellranger_1.1.0           
 [55] rprojroot_2.0.3             polyclip_1.10-0             graph_1.72.0               
 [58] carData_3.0-5               boot_1.3-28                 zoo_1.8-10                 
 [61] base64enc_0.1-3             beeswarm_0.4.0              ggridges_0.5.3             
 [64] GlobalOptions_0.1.2         processx_3.5.3              pheatmap_1.0.12            
 [67] png_0.1-7                   viridisLite_0.4.0           rjson_0.2.21               
 [70] bitops_1.0-7                ConsensusClusterPlus_1.58.0 KernSmooth_2.23-20         
 [73] DelayedMatrixStats_1.16.0   shape_1.4.6                 jpeg_0.1-9                 
 [76] rstatix_0.7.0               ggsignif_0.6.3              aws.s3_0.3.21              
 [79] beachmat_2.10.0             scales_1.2.0                memoise_2.0.1              
 [82] magrittr_2.0.3              plyr_1.8.7                  hexbin_1.28.2              
 [85] zlibbioc_1.40.0             hdrcde_3.4                  compiler_4.1.2             
 [88] dqrng_0.3.0                 plotrix_3.8-2               clue_0.3-61                
 [91] lme4_1.1-29                 rrcov_1.7-0                 cli_3.3.0                  
 [94] XVector_0.34.0              ps_1.7.0                    MASS_7.3-55                
 [97] tidyselect_1.1.2            stringi_1.7.6               RProtoBufLib_2.6.0         
[100] yaml_2.3.5                  BiocSingular_1.10.0         locfit_1.5-9.5             
[103] latticeExtra_0.6-29         grid_4.1.2                  tools_4.1.2                
[106] parallel_4.1.2              CytoML_2.6.0                circlize_0.4.15            
[109] bluster_1.4.0               foreach_1.5.2               metapod_1.2.0              
[112] gridExtra_2.3               farver_2.1.0                Rtsne_0.16                 
[115] digest_0.6.29               pracma_2.3.8                Rcpp_1.0.8.3               
[118] car_3.0-13                  broom_0.8.0                 fda_6.0.3                  
[121] httr_1.4.3                  IDPmisc_1.1.20              ComplexHeatmap_2.10.0      
[124] colorspace_2.0-3            rainbow_3.6                 brio_1.1.3                 
[127] XML_3.99-0.9                fs_1.5.2                    splines_4.1.2              
[130] RBGL_1.70.0                 statmod_1.4.36              sessioninfo_1.2.2          
[133] fds_1.8                     jsonlite_1.8.0              nloptr_2.0.0               
[136] corpcor_1.6.10              testthat_3.1.4              R6_2.5.1                   
[139] pillar_1.7.0                nnls_1.4                    glue_1.6.2                 
[142] fastmap_1.1.0               minqa_1.2.4                 BiocParallel_1.28.3        
[145] deSolve_1.32                BiocNeighbors_1.12.0        codetools_0.2-18           
[148] pcaPP_2.0-1                 pkgbuild_1.3.1              mvtnorm_1.1-3              
[151] utf8_1.2.2                  lattice_0.20-45             tibble_3.1.7               
[154] flowViz_1.58.0              curl_4.3.2                  ggbeeswarm_0.6.0           
[157] colorRamps_2.3.1            gtools_3.9.2.1              survival_3.3-1             
[160] limma_3.50.3                desc_1.4.1                  munsell_0.5.0              
[163] GetoptLong_1.0.5            GenomeInfoDbData_1.2.7      iterators_1.0.14           
[166] gtable_0.3.0