Hello,
I am new to shinystan so apologies if I don’t provide enough info/format wrong or something, I can fix as required.
I am having a problem when launching shinystan for my model & after some forum searching I found nothing definite that would help.
After training model
by_segment_model_dated <- brm(…)
I attempt to launch shinystan:
`
Launching ShinyStan interface… for large models this may take some time.
Listening on http://127.0.0.1:6690
Warning: The size argument of element_line() is deprecated as of ggplot2 3.4.0.
ℹ Please use the linewidth argument instead.
This warning is displayed once every 8 hours.
Call lifecycle::last_lifecycle_warnings() to see where this warning was generated.
Warning: The select input “diagnostic_param” contains a large number of options; consider using server-side selectize for massively improved performance. See the Details section of the ?selectizeInput help topic.
Warning: The select input “ac_params” contains a large number of options; consider using server-side selectize for massively improved performance. See the Details section of the ?selectizeInput help topic.
Warning in .approxfun(x, y, v, method, yleft, yright, f, na.rm) :
NAs introduced by coercion
Warning in .approxfun(x, y, v, method, yleft, yright, f, na.rm) :
NAs introduced by coercion
Warning in .approxfun(x, y, v, method, yleft, yright, f, na.rm) :
NAs introduced by coercion
Warning: Error in p: unused argument (em(“posterior predictive distribution”))
125: dots_list
124: div
103: source_ui [ui_utils.R#2]
86: source_ui [ui_utils.R#2]
6: shiny::runApp
5: launch
4: launch_shinystan.shinystan
2: launch_shinystan.brmsfit
1: launch_shinystan
`
The shinystan window opens with the below error message:
unused argument(en(“posterior predictive distribution”))
Shinystan used to launch for my colleague with these models so I don’t think the problem lies in model code.
I don’t really know where to start looking, so any suggestions would be welcome!
Here’s my R session info (didn’t bother including loaded via a namespace):
R version 4.2.1 (2022-06-23 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.utf8 LC_CTYPE=English_United States.utf8 LC_MONETARY=English_United States.utf8
[4] LC_NUMERIC=C LC_TIME=English_United States.utf8
attached base packages:
[1] parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] viridis_0.6.3 viridisLite_0.4.2 forcats_1.0.0 purrr_1.0.1 readr_2.1.4
[6] tibble_3.2.1 tidyverse_2.0.0 tidyr_1.3.0 tidybayes_3.0.4 stringr_1.5.0
[11] skimr_2.1.5 shinystan_2.6.0 shiny_1.7.4 rstanarm_2.21.4 rstan_2.21.8
[16] StanHeaders_2.21.0-7 RODBC_1.3-20 rjson_0.2.21 rAzureBatch_0.7.0 pracma_2.4.2
[21] plotly_4.10.1 patchwork_1.1.2 Microsoft365R_2.3.4 microbenchmark_1.4.10 mice_3.15.0
[26] magrittr_2.0.3 lubridate_1.9.3 htmlwidgets_1.6.2 Hmisc_5.0-1 gtExtras_0.4.5
[31] gt_0.9.0 ggplot2_3.4.2 dplyr_1.1.2 doParallel_1.0.17 iterators_1.0.14
[36] foreach_1.5.2 devtools_2.4.5 usethis_2.1.6 data.table_1.14.8 conflicted_1.2.0
[41] cmdstanr_0.5.3 brms_2.19.0 Rcpp_1.0.10 blastula_0.3.3 bayesplot_1.10.0
[46] AzureStor_3.7.0 arrow_11.0.0.3