finalfit

Compare bootstrapped distributions

Bootstrap simulation for model prediction

Deprecated catTest from Hmisc for reverse dependencies

Check accurate recoding of variables

Produce a coefficient table and plot

Chemotherapy for Stage B/C colon cancer

magrittr compound assignment pipe-operator

Condense model output dataframe for final tables

Cox proprotional hazards multivariable models: finalfit model wrapper

Cox proprotional hazards univariable models: finalfit model wrapper

Competing risks multivariable regression: finalfit model wrapper

Competing risks univariable regression: finalfit model wrapper

Make a label for the dependent variable

Errors: colon in factor levels

magrittr exposition pipe-operator

Extract model output to dataframe

Extract variable labels and names

Extract variable labels from dataframe

Add column totals to summary_factorlist() output

Eval for 'lm' and 'glm' model wrappers

Generate formula as character string

Descriptive statistics for dataframe

Make an interaction variable and add to dataframe

Label a variable

Merge a summary_factorlist() table with any number of model results tables.

Generate common metrics for regression model results

Generate newdata for simulations

Include only percentages for factors in summary_factorlist output

Permuate explanatory variables to produce multiple output tables for common regression models

Produce a table and plot

Relabel variables in a data frame

Relabel variables from data frame after tidyverse functions

Remove p-value from output

Remove regression reference level row from table

Add row totals to summary_factorlist() output

Help making stratified summary_factorlist tables

Final output tables for common regression models

finalfit: Quickly create elegant final results tables and plots when modelling.

Extract model fit results to dataframe (generic): finalfit model extractors

Format n and percent as a character

Mixed effects binomial logistic regression models: finalfit model wrapper

Binomial logistic regression multivariable models: finalfit model wrapper

Binomial logistic regression multivariable models with bootstrapped confidence intervals: finalfit model wrapper

Binomial logistic regression univariable models: finalfit model wrapper

Produce a hazard ratio table and plot

Test character describes survival object

Labels to column names

Labels to level

Mixed effects linear regression models: finalfit model wrapper

Linear regression multivariable models: finalfit model wrapper

Linear regression univariable models: finalfit model wrapper

Hosmer-Lemeshow goodness of fit test

Compare missing data

Missing values data frame

Summary of missing values

Missing values pairs plot

Characterise missing data for finalfit models

Missing values occurence plot

Create predictorMatrix for use with mice

Produce an odds ratio table and plot

Round p-values but keep trailing zeros

Pipe operator

Label plot title

Print methods for finalfit data frames

Remove intercept from model output

Remove variable labels.

Remove duplicate levels within summary_factorlist: finalfit helper function

Remove duplicates and replace

Round values but keep trailing zeros

Summarise a set of factors (or continuous variables) by a dependent variable

Call to mice:::summary.mipo

Plot survival curves with number-at-risk table

Multivariable survey-weighted generalised linear models

Univariable survey-weighted generalised linear models

Determine type/class of a variable

Western Collaborative Group Study