Error, missing value where TRUE/FALSE needed while running ZIBPPCA

Hello

This may be more of a stats question, but I thought I'd try my luck here.

I am trying to inspect data using a new package ZIBPPCA (equivalent to PCA for Zero-inflated data). More for data exploration than dimension reduction.

But I get the error "Error in while ((difllike > pres) && (i <= maxit)) {: missing value where TRUE/FALSE needed" (see reprex).

A regular PCA would be suboptimal because my data has a lot of zeros.

Does anyone have any experience with this sort of problem or with running this function?
Any help would be greatly appreciated.

library(styler)

library(reprex)
library(tidyverse)
# install_github("khellton/zibppca")
library(devtools)
#> Loading required package: usethis
library(zibppca)


setwd("C:/Users/")

All.SCL.TL <- read.csv("C:/Users/All.SCL.TL.csv")
# remove col X
All.SCL.TL$X <- NULL
#check data structure
str(All.SCL.TL)
#> 'data.frame':    215 obs. of  5 variables:
#>  $ L   : num  23.1 20.6 24.2 26.8 23.7 ...
#>  $ BPAT: num  45.4 41.5 42.7 43.3 47.5 ...
#>  $ FLT : num  50.9 47 50.7 49.7 50.4 ...
#>  $ dBPT: num  12.79 8.69 0 6.37 14.43 ...
#>  $ tBP : int  1 1 0 2 2 1 3 0 2 0 ...



#check for NA values
colSums(is.na(All.SCL.TL))
#>    L BPAT  FLT dBPT  tBP 
#>    0    0    0    0    0
#no NA values in dataframe

#generate PCA
pcaSCL.TL <- zibppca(All.SCL.TL, scale. = TRUE)
#> [1] "Analyzing data with 5 variables and 215 observations"
#> Error in while ((difllike > pres) && (i <= maxit)) {: missing value where TRUE/FALSE needed

Created on 2021-11-17 by the reprex package (v2.0.1)

Session info
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