finalfit-package |
finalfit: Quickly create elegant final results tables and plots when modelling. |
boot_compare |
Compare bootstrapped distributions |
boot_predict |
Bootstrap simulation for model prediction |
check_recode |
Check accurate recoding of variables |
coefficient_plot |
Produce a coefficient table and plot |
colon_s |
Chemotherapy for Stage B/C colon cancer |
coxphmulti |
Cox proprotional hazards multivariable models: 'finalfit' model wrapper |
coxphuni |
Cox proprotional hazards univariable models: 'finalfit' model wrapper |
crrmulti |
Competing risks multivariable regression: 'finalfit' model wrapper |
crruni |
Competing risks univariable regression: 'finalfit' model wrapper |
dependent_label |
Make a label for the dependent variable |
extract_variable_label |
Extract variable labels from dataframe |
ff_column_totals |
Add column totals to 'summary_factorlist()' output |
ff_formula |
Generate formula as character string |
ff_glimpse |
Descriptive statistics for dataframe |
ff_interaction |
Make an interaction variable and add to dataframe |
ff_label |
Label a variable |
ff_merge |
Merge a 'summary_factorlist()' table with any number of model results tables. |
ff_metrics |
Generate common metrics for regression model results |
ff_metrics.coxph |
Generate common metrics for regression model results |
ff_metrics.coxphlist |
Generate common metrics for regression model results |
ff_metrics.glm |
Generate common metrics for regression model results |
ff_metrics.glmerMod |
Generate common metrics for regression model results |
ff_metrics.glmlist |
Generate common metrics for regression model results |
ff_metrics.lm |
Generate common metrics for regression model results |
ff_metrics.lmerMod |
Generate common metrics for regression model results |
ff_metrics.lmlist |
Generate common metrics for regression model results |
ff_newdata |
Generate newdata for simulations |
ff_percent_only |
Include only percentages for factors in 'summary_factorlist' output |
ff_permute |
Permuate explanatory variables to produce multiple output tables for common regression models |
ff_plot |
Produce a table and plot |
ff_relabel |
Relabel variables in a data frame |
ff_relabel_df |
Relabel variables from data frame after tidyverse functions |
ff_remove_p |
Remove p-value from output |
ff_remove_ref |
Remove regression reference level row from table |
ff_row_totals |
Add row totals to 'summary_factorlist()' output |
ff_stratify_helper |
Help making stratified summary_factorlist tables |
finalfit |
Final output tables for common regression models |
finalfit.coxph |
Final output tables for common regression models |
finalfit.glm |
Final output tables for common regression models |
finalfit.lm |
Final output tables for common regression models |
finalfit_column_totals |
Add column totals to 'summary_factorlist()' output |
finalfit_formula |
Generate formula as character string |
finalfit_glimpse |
Descriptive statistics for dataframe |
finalfit_interaction |
Make an interaction variable and add to dataframe |
finalfit_label |
Label a variable |
finalfit_merge |
Merge a 'summary_factorlist()' table with any number of model results tables. |
finalfit_newdata |
Generate newdata for simulations |
finalfit_percent_only |
Include only percentages for factors in 'summary_factorlist' output |
finalfit_permute |
Permuate explanatory variables to produce multiple output tables for common regression models |
finalfit_plot |
Produce a table and plot |
finalfit_relabel |
Relabel variables in a data frame |
finalfit_relabel_df |
Relabel variables from data frame after tidyverse functions |
finalfit_remove_p |
Remove p-value from output |
finalfit_remove_ref |
Remove regression reference level row from table |
finalfit_row_totals |
Add row totals to 'summary_factorlist()' output |
fit2df |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.coxme |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.coxph |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.coxphlist |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.crr |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.crrlist |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.glm |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.glmboot |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.glmerMod |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.glmlist |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.lm |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.lmerMod |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.lmlist |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.mipo |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.stanfit |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
fit2df.svyglmlist |
Extract model fit results to dataframe (generic): 'finalfit' model extractors |
format_n_percent |
Format n and percent as a character |
glmmixed |
Mixed effects binomial logistic regression models: 'finalfit' model wrapper |
glmmulti |
Binomial logistic regression multivariable models: 'finalfit' model wrapper |
glmmulti_boot |
Binomial logistic regression multivariable models with bootstrapped confidence intervals: 'finalfit' model wrapper |
glmuni |
Binomial logistic regression univariable models: 'finalfit' model wrapper |
hr_plot |
Produce a hazard ratio table and plot |
labels_to_column |
Labels to column names |
labels_to_level |
Labels to level |
lmmixed |
Mixed effects linear regression models: 'finalfit' model wrapper |
lmmulti |
Linear regression multivariable models: 'finalfit' model wrapper |
lmuni |
Linear regression univariable models: 'finalfit' model wrapper |
metrics_hoslem |
Hosmer-Lemeshow goodness of fit test |
missing_compare |
Compare missing data |
missing_glimpse |
Summary of missing values |
missing_pairs |
Missing values pairs plot |
missing_pattern |
Characterise missing data for 'finalfit' models |
missing_plot |
Missing values occurence plot |
missing_predictorMatrix |
Create predictorMatrix for use with mice |
or_plot |
Produce an odds ratio table and plot |
p_tidy |
Round p-values but keep trailing zeros |
rm_duplicates |
Remove duplicates and replace |
round_tidy |
Round values but keep trailing zeros |
summary_factorlist |
Summarise a set of factors (or continuous variables) by a dependent variable |
surv_plot |
Plot survival curves with number-at-risk table |
svyglmmulti |
Multivariable survey-weighted generalised linear models |
svyglmuni |
Univariable survey-weighted generalised linear models |
wcgs |
Western Collaborative Group Study |