NetCoupler 0.1.0

• General preparation for submitting package to CRAN.

New features

• Added to nc_estimate_* function output the full model list as an attribute,
  that is really only necessary for those interested in the underlying models used
  for classifying the effects
• Added a continuous outcome variable to simulated data that also links in with
  the DAG so that the linkage is more obvious (#97)
• Added function to create an edge table (#117)
• Incorporate tidyselect helpers into functions for selection of variables (#62)
• Added Getting Started vignette and an article on examples of using different models (#70)
• Added argument to nc_estimate_*_links() functions to set thresholds for
  classifying links (#157)
• Added weights to be included to as_edge_tbl() (#142)

Removed features

• Removed nc_classify_effects() and nc_filter_estimates(), merged them into
  the two main estimation functions instead
• Model summary statistics for lm and glm models were removed for improving
  computing speed (they slowed things down quite a bit)

Internal changes

• Output all models used for classification as an attribute for the nc_estimate_*
  functions output
• Use lavaan instead of dagitty to generate the simulated data
• Use standard GitHub Actions and remove AppVeyor
• Refactored some code within estimation method so it runs faster
• Tidied up the unit tests to run faster
• Removed duplicate or extra roxygen examples and instead referenced a common
  source with @seealso
• Removed survival dependency
• Switch to using main instead of master branch