- bug fixes
- fit2df.lmerMod() set default
`confint_sep = " to "`

. - boot_predict() and boot_compare() confidence interval limits and methods options added.

- bug fixes
- fit2df.lmerMod() set default
`confint_sep = " to "`

. - boot_predict() and boot_compare() confidence interval limits and methods options added.

- new plots example vignette https://finalfit.org/articles/all_plots_examples.html
- bug fix for
`cont_cut`

argument in`finalfit()`

. #78 - bug fix for column totals with weighted data.
- correction to weighting of continuous explanatory variables in
`summary_factorlist()`

. - fix bug to
`coefficient_plot()`

when passing`lmmixed()`

object. - weighting now available directly in
`finalfit()`

. - formula parsed correctly in
`lmuni()`

,`lmmulti()`

,`glmuni()`

,`glmmulti()`

,`coxphuni()`

, coxphmulti().

- bug fix for
`cont_cut`

argument in`finalfit()`

. #78

- bug fix for column totals with weighted data.

- correction to weighting of continuous explanatory variables in
`summary_factorlist()`

. - fix bug to
`coefficient_plot()`

when passing`lmmixed()`

object.

- weighting now available directly in
`finalfit()`

. - formula parsed correctly in
`lmuni()`

,`lmmulti()`

,`glmuni()`

,`glmmulti()`

,`coxphuni()`

, coxphmulti().

- formula interface added to
`finalfit()`

and`summary_factorlist()`

. - weights argument added to
`summary_factorlist()`

for weighted tables. `finalfit()`

updated and arguments to underlying models can now be passed directly.

`missing_plot()`

bugs fixed, many thanks @nathansam. #72`finalfit()`

for CPH models now provides column proportions by default, many thanks corneliushennch. #74`summary_factorlist_stratified()`

: beta testing for stratified tables.`rm_empty_block()`

added: remove rows where all specified variables are missing.

`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.

`ff_relabel()`

tightened to allow mismatch between available data and labels.`missing_compare()`

code updated to allow arguments to be passed to new`summary_factorlist()`

.- Quadratic terms (
`I(var1^2)`

etc.) are now better supported in`finalfit()`

. `cluster()`

,`frailty()`

and`strata()`

terms shown in`finalfit()`

regression tables as an indicator they have been included in model.`or_plot()`

remove_ref bug fix.`ff_newdata()`

bug fix.- Minor changes to accommodate dplyr 1.0.0.
- Plots bug fix when using
`remove_ref`

argument.

- 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.

- Built on R 3.6.1.
- Better support for multiple imputation.
`fit2df()`

function for`mipo`

objects. See missing data vignette/article for examples. - Easier now to build on a
`finalfit()`

table by including`keep_fit_id = TRUE`

. See`ff_merge()`

documentation for details. - Issues with update of
`tidyr::spread()`

in`summary_factorlist()`

so updated to`tidyr::pivot_wider()`

. `ff_column_totals()`

added to be used in combination with`summary_factorlist()`

.`ff_row_totals()`

added to be used in combination with`summary_factorlist()`

.`ff_percent_only()`

added to be used in combination with`summary_factorlist()`

. #25`ff_remove_p()`

can be applied to any condensed finalfit output to remove the p-value. #26`finalfit()`

now takes`column = FALSE`

to provide row proportions. #26`check_recode()`

added.`remove_labels()`

now works for tibbles. #28`summary_factorlist()`

includes argument`cont_range = TRUE`

to include quartiles Q1 and Q3 when median for continuous variables. #29

`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.

`coxphuni()`

and`coxphmulti()`

now take the other`library(survival)`

functions`survival::strata()`

and`survival::cluster()`

.- Fixed
`hr_plot()`

axis title edit option. - Add option to remove reference level (
`remove_ref = TRUE`

) to`or_plot()`

,`hr_plot()`

and`coefficient_plot()`

. `summary_factorlist()`

digit rounding option added.`summary_factorlist()`

geometric mean option added.- Level label removed for continuous variables from
`or_plot()`

,`hr_plot()`

and`coeffient_plot()`

.

- Bug in
`or_plot()`

and`hr_plot()`

introduced in 0.9.2 because of new total column specification.

- Competing risks time-to-event regression now supported via
`cmprsk::crr()`

:`crruni()`

,`crrmulti()`

and`fit2df()`

. - Complex stratified sampling now supported via
`library(survey)`

:`svyglmuni()`

,`svyglmmulti()`

provide support for. #13 `summary_factorlist()`

total column now summarises continuous variables. #17 #21`summary_factorlist()`

can now take any`Hmisc:::summary.formula`

argument, such as`catTest = catTestfisher`

.`catTestfisher()`

added.`finalfit_permute()`

added.

`glmuni()`

,`glmmulti()`

,`lmuni()`

,`lmmulti()`

now all take`weights`

and any other`glm()`

or`lm()`

argument. #13`summary_factorlist()`

rework. Now supports any number of factor levels in dependent. #14 #15`summary_factorlist()`

now provides total count for continuous variable. #17

`or_plot()`

bug fix`ff_remove_ref()`

added. #12`glmmixed()`

and`lmmixed()`

now support random gradient models, and all complex`lme4`

specifications.- Data preparation vignette added.

`ff_plot()`

added`coefficient_plot()`

added`variable_type()`

added- Compatibility for future
`shinyfit`

started. `ff_relabel()`

added.- Error added to
`finalfit()`

for not-allowed colons (:) in factor levels. #10

`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`

.

- New vignettes
- pkgdown website support
`missing_predictorMatrix()`

added for use with`mice`

- Bug fix

- Extended missing data functions added

- Bootstrap simulation functions added

- Bug fix

- Missing data functions added

`lmuni()`

,`lmmulti()`

,`lmmixed()`

,`glmuni()`

,`glmmulti()`

,`glmmixed()`

,`coxphuni()`

,`coxphmulti()`

`metrics_hoslem()`

is the first of a number of ‘metrics’ functions which will be introduced.

- First CRAN release