broom.helpers 1.7.0

New features

• The .assert_package() now uses rlang::check_installed() and
  rlang::is_installed() to check whether needed packages are installed. The
  rlang::check_installed() prompts user to install needed package when run
  interactively. (#147)
• tidy_add_n() and model_get_n() support for tidycmprsk::crr()
  models (#143)
• Listing of supported models is now available in supported_models tibble (#145)

Bug fixes

• Avoiding duplicating rows when applying tidy_add_n() to a mgcv::gam()
  model with smooth terms (#150)

broom.helpers 1.6.0

New supported models

• Support for plm::plm() models (#140)

New features

• The .formula_list_to_named_list() now respects the select_single=
  argument for all inputs types. Previously, named lists were ignored.
• Added new argument .formula_list_to_named_list(null_allowed=) argument
  that works in conjunction with type_check= asserting the class/type of
  the RHS of the formula (or the value of the named list) (#137)
• Better error message in .formula_list_to_named_list() (#136)

Bug fixes

• Fix so .formula_list_to_named_list(type_check=) checks RHS of a formula
  and the value of named list. (#138)

broom.helpers 1.5.0

New features

• New method model_get_coefficients_type.tidycrr() (#128)
• Updated error messaging about using broom.helpers::tidy_parameters()
  to include the package prefix. This message sometimes appears while
  running gtsummary::tbl_regression() where some users may not be
  aware where the tidy_paramters() function lives. (#129)
• .formula_list_to_named_list() improvement: it is now possible to add
  a type check (#132)
• New functions .assert_package() and .get_min_version_required() to
  check for a package's installation status and whether the installed
  version meets the minimum required version from the DESCRIPTION file (#134)

Bug fixes

• Bug fix for identifying the levels of a logical variable (#125)
• Bug fix for nnet::multinom() models with a binary outcome (#130)

broom.helpers 1.4.0

New supported models

• Support for glmmTMB::glmmTMB() models (#119)

New features

• Function arguments that accept formula-list values now have more flexible inputs. (#121)
  • The passed list may now be a combination of named lists and lists of formulas, e.g. list(trt ~ 1, all_continuous() ~ 2).
  • The shortcut ~ <value> may be now used to indicate everything() ~ <value>

Bug fixes

• Bug fix for computing n for some binomial models computed
  with lme4::glmer() (#116)
• Populating effect column when adding reference rows (#117)

broom.helpers 1.3.0

New supported models

• Support of rstanarm::stan_glm() models
• Basic support for VGAM::vglm() models (#105)

New features

• Custom tieder tidy_parameters() based on parameters::model_parameters()
  (#104)
• Custom tieder tidy_with_broom_or_parameters() (#104)
• By default, tidy_plus_plus() now uses tidy_with_broom_or_parameters()
• model_get_coefficients_type() now returns "prop_hazard" for cloglog-binomial
  models (#106)

broom.helpers 1.2.1

Bug fixes

• Better identification of term labels for interaction terms using sum
  contrasts (#108)
• Now tidy_add_n() works with multinomial models when y is not coded as
  a factor (#109)
• glue added to Suggests

broom.helpers 1.2.0

New features

• model_get_coefficients_type() now returns "relative_risk" for log-binomial
  models (#101)
• New function tidy_disambiguate_terms() for disambiguating random-effect
  terms in mixed models and new options for tidy_plus_plus():
  disambiguate_terms (TRUE by default) and disambiguate_sep (#98)
• For mixed models, var_type column is now equal to "ran_pars" or
  "ran_vals" for random-effect parameters and values, based of the
  effect column returned by broom.mixed::tidy() (#90)
• New contrasts type ("no.contrast") returned by model_list_contrasts()
• New function tidy_add_n() to add the number of observations (and for
  relevant models the number of events and exposure time) (#64)
• New option add_n in tidy_plus_plus() (#64)
• New functions model_get_n(), model_get_weights(), model_get_offset(),
  model_get_response() and model_compute_terms_contributions() (#64)

New supported models

• Support of lfe::felm() models (#79)
• Support of brms::brm() models (#89)
• Basic support of cmprsk::crr() models (#91)
• Basic support of stats::nls() models (#97)
• Models with categorical variable and no intercept now supported (#85)
• Added support for mgcv::gam() models. (#82)

Bug fixes and other changes

• Minor breaking change: strict argument removed from
  tidy_identify_variables() (#99)
• Replaced usethis::ui_*() messaging with cli::cli_*() (#94)
• Bug fix in tidy_add_term_labels() for variables with non standard
  names (#77)
• Fix in vignette for old versions of rmarkdown (#95)

broom.helpers 1.1.0

• Minor breaking change: column var_type returned by tidy_identify_variables()
  is now equal to "dichotomous" for categorical variables with only
  2 levels
• Minor breaking changes: for intercepts terms, tidy_identify_variables()
  now populates variable column by term content, instead of NA (#66)
• Minor breaking change: If the variables can't be identified by
  tidy_identify_variables(), the variable column is now populated
  with the content of the term column (#63)
• Exporting select helper utility functions (#65)
  • .generic_selector(): makes it easy to create selecting functions like all_continuous().
  • .select_to_varnames(): converts selecting syntax into character varnames
  • .formula_list_to_named_list(): takes the formula selecting syntax and converts it to a named list.
• New selecting functions all_continuous(), all_categorical(),
  all_dichotomous(), all_contrasts(), all_intercepts() and all_interaction() for selecting variables
  from models (#54)
• Added support for multiple imputation models from the {mice}
  package. The model passed must be the un-pooled models, and the
  pooling step included in tidy_fun= (#49 @ddsjoberg)
• New function tidy_select_variables() to keep/drop
  selected variables in the output (#45)
• New functions tidy_add_coefficients_type() and
  model_get_coefficients_type to get the type of coefficients
  (generic, logistic, Poisson or proportional hazard) used
  by a model (#46)
• tidy_add_contrasts() and model_list_contrasts() now return an
  additional column contrasts_type
• New no_reference_row argument for tidy_add_reference_rows() (#47)
• New method model_get_nlevels to get the number of levels of categorical variables
• New column var_nlevels returned by tidy_identify_variables(),
  model_identify_variables() and tidy_plus_plus()
• Categorical terms can now be customized with a pattern taking into account
  term level, reference level and/or variable label, see model_list_terms_levels()
  and categorical_terms_pattern in tidy_plus_plus() and tidy_add_term_labels (#61)
• model_list_terms_levels() now returns additional columns (level, reference_level
contrasts_type, var_label, var_levels and dichotomous)
• model_list_variables() now returns an additional var_label column
• The exponentiate argument is now passed to the tidy_*()
  functions, as an attribute attached to the tibble, as well as custom labels
  (variable_labels and term_labels)
• show_single_row argument now accepts tidyselect notation (#51 @ddsjoberg)
• tidy_add_estimate_to_reference_rows() now relies on emmeans for
  sum contrasts, allowing to cover a wider range of models
• Tibbles returned by tidy_* functions also inherits of "broom.helpers"
  class (#56)
• interaction_sep argument has been added to tidy_plus_plus()
• Better management of variables with non standard names (#67)
• .clean_backticks() and .escape_regex() are now exported
• Bug fix for non standard variable names containing
  a character that would have a special meaning in
  a regular expression (#44)
• Bug fix in tidy_add_header_rows() for nnet::multinom models:
  label for header rows was missing (#50)
• Bug fix: now tidy_identify_variables() correctly identify class "integer"
  for this type of variables (#57)
• Bug fix for tidy_add_header_rows() for continuous variables with a non
  standard name (#70)

broom.helpers 1.0.0

Initial release