multivariate model fit checking analysis should not use 'mixed_effects' as predictor for BT

[egouldo]

In fixing up downstream code after #42, noticed that the multivariate model selection checking analysis includes the predictor mixed_model for the blue tit analyses, but it shouldn't because we didn't pass preregistered threshold.

Note that this isn't a problem for the main targets pipeline because the function applied there fit_multivar_MA() checks and won't fit the model if the threshold isn't met (fixed in egouldo/ManyEcoEvo#147).

[egouldo]

library(report)
library(ManyEcoEvo)
#> Loading required package: rmarkdown
#> Loading required package: bookdown
#> Registered S3 method overwritten by 'parsnip':
#>   method          from 
#>   print.nullmodel vegan
#> Registered S3 method overwritten by 'lava':
#>   method         from    
#>   print.estimate EnvStats

library(tidyverse)

ManyEcoEvo_yi_results %>%
  dplyr::filter(dataset == "blue tit") %>%
  pluck("MA_mod_mv", 1) %>%
  format_formula()
#> [1] "formula: box_cox_abs_deviation_score_estimate ~ RateAnalysis + PublishableAsIs + mean_diversity_index"

^{Created on 2024-09-05 with reprex v2.1.0}