I am trying to learn to use the FunciSNP package to find putatively functional SNPs within an enhancer regions of a GWAS locus. So far, I've just tried to run the practice code, that the developers include in the FunciSNP_vignette.pdf. However, I am unable to run the key function due to the following error.

> glioma <- getFSNPs(snp.regions.file=glioma.snp, bio.features.loc=glioma.bio, bio.features.TSS=F);
Error in getFSNPs(snp.regions.file = glioma.snp, bio.features.loc = glioma.bio,  : 
  unused argument (bio.features.TSS = F)

Could anyone help?  It seems that "bio.features.TSS=FALSE" is not recognized.

Thanks a lot!

> sessionInfo() 
R version 3.2.2 (2015-08-14)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1

locale:
[1] LC_COLLATE=English_United Kingdom.1252 
[2] LC_CTYPE=English_United Kingdom.1252   
[3] LC_MONETARY=English_United Kingdom.1252
[4] LC_NUMERIC=C                           
[5] LC_TIME=English_United Kingdom.1252    

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

other attached packages:
 [1] FunciSNP_1.12.0                        
 [2] RSQLite_1.0.0                          
 [3] DBI_0.3.1                              
 [4] FunciSNP.data_1.6.0                    
 [5] TxDb.Hsapiens.UCSC.hg19.knownGene_3.2.2
 [6] GenomicFeatures_1.22.13                
 [7] AnnotationDbi_1.32.3                   
 [8] Biobase_2.30.0                         
 [9] GenomicRanges_1.22.4                   
[10] GenomeInfoDb_1.6.3                     
[11] IRanges_2.4.8                          
[12] S4Vectors_0.8.11                       
[13] BiocGenerics_0.16.1                    
[14] ggplot2_2.1.0                          

loaded via a namespace (and not attached):
 [1] SummarizedExperiment_1.0.2   VariantAnnotation_1.16.4    
 [3] splines_3.2.2                lattice_0.20-33             
 [5] colorspace_1.2-6             htmltools_0.3.5             
 [7] rtracklayer_1.30.4           interactiveDisplayBase_1.8.0
 [9] survival_2.38-3              XML_3.98-1.4                
[11] RBGL_1.46.0                  ensembldb_1.2.2             
[13] BiocParallel_1.4.3           lambda.r_1.1.7              
[15] matrixStats_0.50.1           plyr_1.8.3                  
[17] zlibbioc_1.16.0              Biostrings_2.38.4           
[19] munsell_0.4.3                gtable_0.2.0                
[21] futile.logger_1.4.1          memoise_1.0.0               
[23] biomaRt_2.26.1               httpuv_1.3.3                
[25] BiocInstaller_1.20.1         ChIPpeakAnno_3.4.6          
[27] Rcpp_0.12.4                  xtable_1.8-2                
[29] scales_0.4.0                 BSgenome_1.38.0             
[31] regioneR_1.2.3               limma_3.26.9                
[33] graph_1.48.0                 XVector_0.10.0              
[35] mime_0.4                     Rsamtools_1.22.0            
[37] AnnotationHub_2.2.5          digest_0.6.9                
[39] shiny_0.13.2                 grid_3.2.2                  
[41] tools_3.2.2                  bitops_1.0-6                
[43] snpStats_1.20.0              RCurl_1.95-4.8              
[45] futile.options_1.0.0         GO.db_3.2.2                 
[47] MASS_7.3-43                  Matrix_1.2-2                
[49] reshape_0.8.5                httr_1.1.0                  
[51] R6_2.1.2                     VennDiagram_1.6.16          
[53] GenomicAlignments_1.6.3      multtest_2.26.0