Clmm support in tab_model() broken by recent update

[JCruk]

tab_model() is failing with clmm objects with a different error than previously reported (and fixed) in this issue.

I am getting:

Error in match.arg(method, choices = c("default", "refit", "posthoc",  : 
  'arg' must be NULL or a character vector

plot_model() is still working fine.

I have the following versions installed:

sessionInfo()
R version 3.6.1 (2019-07-05)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1

Matrix products: default

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

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

other attached packages:
[1] sjPlot_2.7.2      ordinal_2019.4-25

loaded via a namespace (and not attached):
 [1] tidyselect_0.2.5    sjlabelled_1.1.1    xfun_0.10           performance_0.4.0.1
 [5] purrr_0.3.3         splines_3.6.1       haven_2.1.1         lattice_0.20-38    
 [9] parameters_0.3.0    colorspace_1.4-1    vctrs_0.2.0         generics_0.0.2     
[13] yaml_2.2.0          rlang_0.4.1         pillar_1.4.2        nloptr_1.2.1       
[17] foreign_0.8-72      glue_1.3.1          effectsize_0.0.1    modelr_0.1.5       
[21] emmeans_1.4.2       lifecycle_0.1.0     sjmisc_2.8.2        munsell_0.5.0      
[25] gtable_0.3.0        bayestestR_0.4.0    mvtnorm_1.0-11      coda_0.19-3        
[29] psych_1.8.12        knitr_1.25          forcats_0.4.0       parallel_3.6.1     
[33] broom_0.5.2         Rcpp_1.0.2          xtable_1.8-4        backports_1.1.5    
[37] scales_1.0.0        ggeffects_0.12.0    lme4_1.1-21         mnormt_1.5-5       
[41] ggplot2_3.2.1       hms_0.5.2           insight_0.7.0       dplyr_0.8.3        
[45] ggrepel_0.8.1       numDeriv_2016.8-1.1 grid_3.6.1          sjstats_0.17.6     
[49] tools_3.6.1         magrittr_1.5        lazyeval_0.2.2      tibble_2.1.3       
[53] ucminf_1.1-4        crayon_1.3.4        tidyr_1.0.0         pkgconfig_2.0.3    
[57] zeallot_0.1.0       MASS_7.3-51.4       Matrix_1.2-17       estimability_1.3   
[61] assertthat_0.2.1    minqa_1.2.4         rstudioapi_0.10     R6_2.4.0           
[65] boot_1.3-23         nlme_3.1-141        compiler_3.6.1     

The error can be reproduced with:

library(ordinal)
library(sjPlot)

data(wine, package = "ordinal")
data(soup)

m1 <- clmm(rating ~ temp + contact + (1 | judge), data = wine)
m2 <- clmm(SURENESS ~ PROD + (1 | RESP) + (1 | RESP:PROD),
           data = soup,
           link = "probit",
           threshold = "equidistant"
)

tab_model(m1, m2)

Error in match.arg(method, choices = c("default", "refit", "posthoc",  : 
  'arg' must be NULL or a character vector

[strengejacke]

Works fine for me. I guess you need to install effectsize from CRAN and then update sjPlot from CRAN, then it should work (usually, pkg effectsize will be automatically installed once you update sjPlot).

[JCruk]

Installing effectsize and sjPlot from CRAN fixed the issue for me. Thanks!