I can’t find an example of exactly this problem anywhere, and I am really struggling with it! This morning the models compiled, this afternoon they don’t. This is using cmdstan as the backend, with latest version of brms and cmdstan, on Windows 10.
Here is the error that these formerly-working models produce now after an installation step:
Start sampling
Chain 1 Initialization failed.
Chain 3 Initialization failed.
Chain 2 Initialization failed.
Chain 4 Initialization failed.
Error in cmdstanr::read_cmdstan_csv(out$output_files(), variables = "", :
Assertion on 'files' failed: No file provided.
In addition: Warning message:
No chains finished successfully. Unable to retrieve the fit.
Frustratingly, the demo models from brms documentation DO work (at least those I tried did). So I’m at a loss – is it something in my particular model that’s the problem?
session info
R version 4.3.0 (2023-04-21 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)
Matrix products: default
locale:
[1] LC_COLLATE=English_Canada.utf8 LC_CTYPE=English_Canada.utf8 LC_MONETARY=English_Canada.utf8 LC_NUMERIC=C
[5] LC_TIME=English_Canada.utf8
time zone: America/Toronto
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] tidybayes_3.0.4 lubridate_1.9.2 forcats_1.0.0 stringr_1.5.0 dplyr_1.1.2 purrr_1.0.1 readr_2.1.4 tidyr_1.3.0
[9] tibble_3.2.1 ggplot2_3.4.2 tidyverse_2.0.0 brms_2.19.6 Rcpp_1.0.10
loaded via a namespace (and not attached):
[1] gridExtra_2.3 inline_0.3.19 rlang_1.1.1 magrittr_2.0.3 furrr_0.3.1 matrixStats_1.0.0
[7] compiler_4.3.0 loo_2.6.0 callr_3.7.3 vctrs_0.6.2 reshape2_1.4.4 pkgconfig_2.0.3
[13] arrayhelpers_1.1-0 crayon_1.5.2 fastmap_1.1.1 backports_1.4.1 ellipsis_0.3.2 utf8_1.2.3
[19] cmdstanr_0.5.3 threejs_0.3.3 promises_1.2.0.1 markdown_1.7 tzdb_0.4.0 ps_1.7.5
[25] bit_4.0.5 xfun_0.39 jsonlite_1.8.5 later_1.3.1 broom_1.0.5 parallel_4.3.0
[31] prettyunits_1.1.1 R6_2.5.1 dygraphs_1.1.1.6 stringi_1.7.12 StanHeaders_2.26.26 parallelly_1.36.0
[37] rstan_2.21.8 job_0.3.0 knitr_1.43 modelr_0.1.11 zoo_1.8-12 base64enc_0.1-3
[43] bayesplot_1.10.0 splines_4.3.0 httpuv_1.6.11 Matrix_1.5-4 igraph_1.4.3 timechange_0.2.0
[49] tidyselect_1.2.0 rstudioapi_0.14 abind_1.4-5 codetools_0.2-19 miniUI_0.1.1.1 processx_3.8.1
[55] listenv_0.9.0 pkgbuild_1.4.0 lattice_0.21-8 plyr_1.8.8 shiny_1.7.4 withr_2.5.0
[61] bridgesampling_1.1-2 posterior_1.4.1 coda_0.19-4 future_1.32.0 RcppParallel_5.1.7 ggdist_3.3.0
[67] xts_0.13.1 pillar_1.9.0 tensorA_0.36.2 checkmate_2.2.0 DT_0.28 stats4_4.3.0
[73] shinyjs_2.1.0 distributional_0.3.2 generics_0.1.3 vroom_1.6.3 rprojroot_2.0.3 hms_1.1.3
[79] rstantools_2.3.1 munsell_0.5.0 scales_1.2.1 globals_0.16.2 gtools_3.9.4 xtable_1.8-4
[85] glue_1.6.2 tools_4.3.0 shinystan_2.6.0 data.table_1.14.8 colourpicker_1.2.0 mvtnorm_1.2-2
[91] grid_4.3.0 ape_5.7-1 crosstalk_1.2.0 colorspace_2.1-0 nlme_3.1-162 cli_3.6.1
[97] fansi_1.0.4 svUnit_1.0.6 Brobdingnag_1.2-9 gtable_0.3.3 broom.mixed_0.2.9.4 digest_0.6.31
[103] htmlwidgets_1.6.2 farver_2.1.1 htmltools_0.5.5 lifecycle_1.0.3 here_1.0.1 mime_0.12
[109] bit64_4.0.5 shinythemes_1.2.0