Ideas for blogposts

[DominiqueMakowski]

• insight
  • CRAN annoucement
  • Difference between terms, parameters, predictors etc.
• bayestestR
  • CRAN annoucement
  • rnorm_perfect
  • distribution
  • maybe elaborate more on equivalence_test(), based on the discussion with Aki
  • Introduce the bayesfactor function (@mattansb)
  • describe_posteriors
  • Bayesian approach to frequentist algorithms (lmer and arm::sim instead of stan_glmer on large data? bayestestR#219)
  • ...
• performance
  • CRAN annoucement
  • Variance components / R2 / ICC for mixed models
  • check_model
  • present the check_ family
  • Overview / comparison of performance functions
  • ...
• parameters
  • CRAN annoucement
  • find_distribution and distribution classification
  • Data standardization vs. data normalization: also introduce bayetestR::estimate_density.df and see
  • Present .*. and parameters_selection
  • How to intepret coefficients in a regression (interactions and nested models)
  • Parameters standardization
  • n_factors
  • psych support
  • efa_to_cfa and graph plots for lavaan plots
  • check_factorstructure
  • parameters is also interesting for developpers: parameters_type
  • ...
• report
  • CRAN annoucement
  • report_participants
  • ...
• correlation
  • CRAN annoucement
  • How to plot correlations
  • ...
• estimate
  • CRAN annoucement
  • lighthouse plots
  • The world is non-linear: polynomial, splines and GAMs (and their linear segmentation interpretation)
  • Signal processing features: smoothing, find_inversions
  • ...
• see
  • CRAN annoucement
  • Plotting examples for bayestestR functions (not all, just a small scope like p_direction, rope, ...)
  • ...
• easystats
  • "we are growing, now 5 packages on CRAN"
  • easystats_update()
• effectsize
  • CRAN annoucement
  • Data standardization (normal vs. robust)

If you guys have ideas about posts feel free to add :)