• add_row_total in summary_factorlist() now can include proportion of complete data via include_row_totals_percent argument.
  • Robust standard error approach added to vignette.
  • Support added for weights etc. to be included in coxphmulti().
  • “Univariable” mixed effects models including random effects added to vignette.
  • summary_factorlist(): non-parametric continuous variables now defaults to Q1 - Q3 rather than single figure IQR.
  • ff_interaction(): default factor separator changed from “|” to “_” and variable separator from “__” to “_” given incompatibilities with packages such as brms.
  • Bug to coefficient_plot() fixed to bring back point estimates.
  • na_to_prop = FALSE in summary_factorlist() to not include missing data in column proportions of categorical data.
  • ff_relabel_df() added to allow passing data frame / tibble with labels directly at bottom of pipe.
  • First official release.
  • Re-write of major functions to remove older dependencies, improve performance and add functionality.
  • summary_factorlist() completely rewritten. New column and row summary functions. Alternative statistical tests included. Finer control over continuous variable behaviours.
  • data(wcgs) added.
  • summary_factorlist() geometric sd added.
  • AIC added to lm metrics.
  • ff_label() now does not add class “labelled”.
  • Removed capacity for glmmulti() and lmmulti() to run multiple models from multiple dependent variables. It wasn’t used and the list generated was inconvenient for passing output to other functions such as ggfortify::autoplot().
  • ff_permute() re-written to allow many more options for producing intermediate models.
  • Bug in or_plot() and hr_plot() introduced in 0.9.2 because of new total column specification.
  • ff_glimpse() re-written to remove psych dependency
  • missing_glimpse() added: single data frame describing all variables and missing values
  • ff_interaction() added: create variable for an interaction between two factors
  • ff_label() added: easily add label to variable in dataframe
  • ff_newdata() modified to take dataframe without requirement for dependent and explanatory arguments
  • summary_factorlist() modified to allow user to change number of unique factor levels at which a variable a continuous variable is converted to a factor (cont_cut). #9
  • fit2df() and its internal function extract_fit modified to take confint_type and confint_level.
  • Bug fix
  • Extended missing data functions added
  • Bootstrap simulation functions added
  • Bug fix
  • Missing data functions added

New functions

  • metrics_hoslem() is the first of a number of ‘metrics’ functions which will be introduced.
  • First CRAN release