Install my commonly used R packages

install-packages.r

favorite_packages <- c(
  # Package development
  "devtools", "Rcpp", "roxygen2", "testthat", "covr",
  
  # Handle data
  "rio", "tidyverse", "broom", "lubridate", "stringr",
  
  # Database
  "RMySQL",
  
  # Modelling, machine learning
  "lme4", "lavaan", "ggeffects", "margins", "topicmodels", "paramtest", "keras", "caret",
  "equatiomatic", "tidymodels",
  
  # Plotting SEM/lavaan
  "lavaanPlot", "tidySEM", "semPlot",
  
  # Text analysis
  "quanteda", "quanteda.textmodels", "quanteda.textplots", "quanteda.textstats", "quanteda.corpora",
  
  # Modelling and graphs
  "directlabels", "ggExtra", "ggrepel", "ggridges", "ggraph", "ggdag",
  "ggstatsplot", "sjlabelled", "sjPlot", "gganimate",
  "DiagrammeR", "DiagrammeRsvg", "rsvg", "VennDiagram", "ggalluvial",
  "geomtextpath",
  
  # Templating, article formats
  "bookdown", "rmarkdown", "rticles",
  
  # Create tables, summarize data/models
  "gtsummary", "summarytools", "codebook", "gt", "kable", "xtable", 
  "furniture", "arsenal", "jtools", "modelsummary",
    
  # Simulations
  "simstudy", "faux",
  
  # Specification curve analysis
  "specr",
  
  # Meta-analysis and effect size estimation
  "compute.es", "effects", "effsize", "esc", "metafor", "metacart",
  
  # Misc frequentist
  "psych", "pwr", "statcheck", "sjstats",
  
  # Misc Bayesian
  "BayesFactor",
    
  # API: Wikipedia, Google Trends
  "pageviews", "gtrendsR"
)

install.packages(unique(favorite_packages), Ncpus=8)

# Swedish related.
install.packages(c("pxweb"))                      # SCB (and others using PX-Web)
devtools::install_github('reinholdsson/swemaps')  # Maps of Sweden, by municipality (kommun