Error(s) in re-building vignettes:
  ...
--- re-building ‘demean.Rmd’ using rmarkdown
Warning in engine$weave(file, quiet = quiet, encoding = enc) :
  Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
Loading required package: Matrix
Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv,  :
  Model failed to converge with max|grad| = 0.0106247 (tol = 0.002, component 1)

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

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    intersect, setdiff, setequal, union

`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
`geom_smooth()` using formula 'y ~ x'
boundary (singular) fit: see ?isSingular
boundary (singular) fit: see ?isSingular
--- finished re-building ‘demean.Rmd’

--- re-building ‘efa_cfa.Rmd’ using rmarkdown
Warning in engine$weave(file, quiet = quiet, encoding = enc) :
  Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.

Attaching package: 'dplyr'

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Loading required namespace: GPArotation
Quitting from lines 74-78 (efa_cfa.Rmd) 
Error: processing vignette 'efa_cfa.Rmd' failed with diagnostics:
unused argument (options = list(TRUE, TRUE, "markup", FALSE, NULL, FALSE, FALSE, "#>", TRUE, TRUE, "normalsize", "#F7F7F7", 0, "cache/", NULL, TRUE, NULL, FALSE, FALSE, "high", "asis", "default", "figure/", "png", NULL, 72, "png", 7, 7, "figure", NULL, NULL, "fig:", NULL, "", NULL, NULL, NULL, 1, TRUE, FALSE, 1, "controls,loop", FALSE, FALSE, FALSE, NULL, NULL, NULL, "R", FALSE, TRUE, TRUE, "unnamed-chunk-3", c("# Fit an EFA", "efa <- psych::fa(data, nfactors = 5) %>% ", "  model_parameters(sort = TRUE, threshold = \"max\")", 
"efa"), 504, 504, "message=FALSE, warning=FALSE"))
--- failed re-building ‘efa_cfa.Rmd’

--- re-building ‘model_parameters.Rmd’ using rmarkdown
Warning in engine$weave(file, quiet = quiet, encoding = enc) :
  Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.

Attaching package: 'dplyr'

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Loading required package: coda
Loading required package: Matrix
************
Welcome to BayesFactor 0.9.12-4.2. If you have questions, please contact Richard Morey (richarddmorey@gmail.com).

Type BFManual() to open the manual.
************
For one-way between subjects designs, partial omega squared is equvilant to omega squared.
Returning omega squared.
For one-way between subjects designs, partial eta squared is equvilant to eta squared.
Returning eta squared.
For one-way between subjects designs, partial epsilon squared is equvilant to epsilon squared.
Returning epsilon squared.

Attaching package: 'GLMMadaptive'

The following object is masked from 'package:lme4':

    negative.binomial

The following object is masked from 'package:BayesFactor':

    model.matrix

Warning in Matrix::sparseMatrix(dims = c(0, 0), i = integer(0), j = integer(0),  :
  'giveCsparse' has been deprecated; setting 'repr = "T"' for you
Warning in Matrix::sparseMatrix(dims = c(0, 0), i = integer(0), j = integer(0),  :
  'giveCsparse' has been deprecated; setting 'repr = "T"' for you
Warning in Matrix::sparseMatrix(dims = c(0, 0), i = integer(0), j = integer(0),  :
  'giveCsparse' has been deprecated; setting 'repr = "T"' for you
Loading required package: Rcpp
This is rstanarm version 2.21.1
- See https://mc-stan.org/rstanarm/articles/priors for changes to default priors!
- Default priors may change, so it's safest to specify priors, even if equivalent to the defaults.
- For execution on a local, multicore CPU with excess RAM we recommend calling
  options(mc.cores = parallel::detectCores())
Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable.
Running the chains for more iterations may help. See
http://mc-stan.org/misc/warnings.html#bulk-ess
Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable.
Running the chains for more iterations may help. See
http://mc-stan.org/misc/warnings.html#tail-ess
Warning in doTryCatch(return(expr), name, parentenv, handler) :
  Note that the default rope range for binomial models might change in future versions (see https://github.com/easystats/bayestestR/issues/364).Please set it explicitly to preserve current results.
Possible multicollinearity between cyl and wt (r = 0.82). This might lead to inappropriate results. See 'Details' in '?rope'.

Using highest density intervals as credible intervals.

Attaching package: 'psych'

The following object is masked from 'package:rstanarm':

    logit

Quitting from lines 286-290 (model_parameters.Rmd) 
Error: processing vignette 'model_parameters.Rmd' failed with diagnostics:
unused argument (options = list(TRUE, TRUE, "markup", FALSE, NULL, FALSE, FALSE, "#>", TRUE, TRUE, "normalsize", "#F7F7F7", 0, "cache/", NULL, TRUE, NULL, FALSE, FALSE, "high", "asis", "default", "figure/", "png", NULL, 72, "png", 7, 7, "figure", NULL, NULL, "fig:", NULL, "", NULL, NULL, NULL, 1, TRUE, FALSE, 1, "controls,loop", FALSE, FALSE, FALSE, NULL, NULL, NULL, "R", FALSE, TRUE, TRUE, "unnamed-chunk-18", c("library(psych)", "", "psych::pca(mtcars, nfactors = 3) %>% ", "  parameters()"), 504, 504, " warning=FALSE, message=FALSE"))
--- failed re-building ‘model_parameters.Rmd’

--- re-building ‘model_parameters_formatting.Rmd’ using rmarkdown
Warning in engine$weave(file, quiet = quiet, encoding = enc) :
  Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
--- finished re-building ‘model_parameters_formatting.Rmd’

--- re-building ‘model_parameters_mice.Rmd’ using rmarkdown
Warning in engine$weave(file, quiet = quiet, encoding = enc) :
  Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.

Attaching package: 'mice'

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    filter

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    cbind, rbind

Loading required package: Matrix

Attaching package: 'GLMMadaptive'

The following object is masked from 'package:lme4':

    negative.binomial

--- finished re-building ‘model_parameters_mice.Rmd’

--- re-building ‘model_parameters_robust.Rmd’ using rmarkdown
Warning in engine$weave(file, quiet = quiet, encoding = enc) :
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Attaching package: 'dplyr'

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--- finished re-building ‘model_parameters_robust.Rmd’

--- re-building ‘model_parameters_standardized.Rmd’ using rmarkdown
Warning in engine$weave(file, quiet = quiet, encoding = enc) :
  Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.

Attaching package: 'dplyr'

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--- finished re-building ‘model_parameters_standardized.Rmd’

--- re-building ‘parameters_reduction.Rmd’ using rmarkdown
Warning in engine$weave(file, quiet = quiet, encoding = enc) :
  Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.

Attaching package: 'dplyr'

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    filter, lag

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Quitting from lines 84-86 (parameters_reduction.Rmd) 
Error: processing vignette 'parameters_reduction.Rmd' failed with diagnostics:
unused argument (options = list(TRUE, TRUE, "markup", FALSE, NULL, FALSE, FALSE, "#>", TRUE, TRUE, "normalsize", "#F7F7F7", 0, "cache/", NULL, TRUE, NULL, FALSE, FALSE, "high", "asis", "default", "figure/", "png", NULL, 72, "png", 7, 7, "figure", NULL, NULL, "fig:", NULL, "", NULL, NULL, NULL, 1, TRUE, FALSE, 1, "controls,loop", FALSE, FALSE, FALSE, NULL, NULL, NULL, "R", FALSE, TRUE, TRUE, "unnamed-chunk-5", c("pca <- principal_components(insight::get_predictors(model), n = \"auto\")", "pca"), 504, 504, 
    "message=FALSE, warning=FALSE"))
--- failed re-building ‘parameters_reduction.Rmd’

--- re-building ‘parameters_selection.Rmd’ using rmarkdown
Warning in engine$weave(file, quiet = quiet, encoding = enc) :
  Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Warning: Model has interaction terms. VIFs might be inflated. You may check multicollinearity among predictors of a model without interaction terms.
Loading required package: Matrix
boundary (singular) fit: see ?isSingular
--- finished re-building ‘parameters_selection.Rmd’

SUMMARY: processing the following files failed:
  ‘efa_cfa.Rmd’ ‘model_parameters.Rmd’ ‘parameters_reduction.Rmd’

Error: Vignette re-building failed.
Execution halted