Comments (5)
Ahhhh, that did it. I had the CRAN versions of bayestestR and insight, and not the github versions. Silly that I didn't even think of that. Thanks all, for the help (and for these excellent packages which make my life easier)!
from performance.
Dear @ajkroeg, thanks for reporting. I think your issue is related to an update of bayestestR. Could you update it (devtools::install_github("easystats/bayestestR")
) before trying installing performance? Thank you!
from performance.
Easystats-packages on GitHub are currently developing very fast, because they're in an early stage. That's why you have to consider the "dependency chain" when installing from GitHub (in order to use new features). Thus, it is recommended to install in following order:
- insight
- bayestestR
- performance
- parameters / other packages / ...
insight was just updated on CRAN, so you most likely can rely on the CRAN version for insight.
from performance.
Hello again,
Similar problem, different specifics. Everything installs correctly from github (made sure I've got the most recent builds). However, when trying to load library(performance), I get the following error:
> library(performance)
Error: package or namespace load failed for ‘performance’ in get(method, envir = home):
lazy-load database 'D:/R/R-3.6.0/library/performance/R/performance.rdb' is corrupt
In addition: Warning messages:
1: In .registerS3method(fin[i, 1], fin[i, 2], fin[i, 3], fin[i, 4], :
restarting interrupted promise evaluation
2: In get(method, envir = home) :
restarting interrupted promise evaluation
3: In get(method, envir = home) : internal error -3 in R_decompress1
I've tried uninstalling all the easystats packages and re-installing from github, both individually, and by installing the easystats package itself. I've also tried uninstalling all the easystats packages, and reinstalling from CRAN. Same error for everything.
I know you are constantly updating these, so some install errors are probably inevitable. I can certainly just wait for further updates and not reopen this issue if you like.
from performance.
Perfect. Latest version of bayestestR (the update from v0.1.9.9000 to 0.2.0) took care of it. Thanks!
from performance.
Related Issues (20)
- `check_singularity` doesn't work for `glmmTMB` HOT 9
- `icc` doesn't work for `glmmTMB` HOT 4
- R-squared for Dirichlet regression (`r2`)
- QQ plot blank in check model for glmmTMB with tweedie distribution HOT 4
- Error checking normality for t.test HOT 1
- spurious(?) viewport-too-small error with new ggplot2 version 3.5.0 HOT 11
- incorrect warning with old `ggplot2`/failure to load `see` HOT 2
- check_model "Error in match.arg" HOT 5
- Error in performance::check_distribution(): in call bw.SJ() HOT 2
- Revising `check_model()` HOT 1
- check_model failing on logistic regression HOT 2
- Check_model in version 0.11.0 no longer produces qq plot residuals HOT 19
- r2_nakagawa and glmmTMB with beta_family
- Outlier detection in Linear mixed models failed? HOT 5
- cannot apply check_model title with patchwork::plot_annotation HOT 4
- check_model error suggestions are not complete HOT 4
- Error and Incomplete Output Using performance::check_collinearity with Cox Models HOT 1
- Normality of Residuals of check_model is abnormal. HOT 2
- Revise compare_models() for Bayesian models HOT 5
- R-squared for glmmTMB (binomial) HOT 9
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from performance.