Learn R Programming

autostats

The goal of autostats is to create a simple tidy interface for generating exploratory statistics.

Installation

You can Install the released version of autostats from CRAN with:

install.packages("autostats")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("Harrison4192/autostats")

Copy Link

Version

Install

install.packages('autostats')

Monthly Downloads

173

Version

0.4.2

License

MIT + file LICENSE

Issues

Pull Requests

Stars

Forks

Maintainer

Harrison Tietze

Last Published

February 26th, 2026

Functions in autostats (0.4.2)

tidy_formula

tidy formula construction
plot_coefs_glm

plot glm coefs
visualize_model

visualize model
tidy_xgboost

tidy xgboost
tidy_cforest

tidy conditional inference forest
f_modify_formula

Modify Formula
tidy_ctree

tidy ctree
plot_ctree

plot ctree
tidy_glm

tidy glm
auto_anova

auto anova
auto_variable_contributions

Plot Variable Contributions
auto_model_accuracy

auto model accuracy
determine_pred_type

determine pred type
f_formula_to_charvec

Formula_rhs to chr vec
f_charvec_to_formula

charvec to formula
auto_boxplot

auto_boxplot
create_monotone_constraints

create monotone constraints
auto_cor

auto correlation
cap_outliers

cap_outliers
auto_tune_xgboost

auto_tune_xgboost
auto_t_test

auto t test
eval_preds

eval_preds
impute_recosystem

impute_recosystem
tidy_predict

tidy predict
%>%

Pipe operator
plot_varimp_cforest

plot cforest variable importance
plot_varimp_xgboost

Plot varimp xgboost
tidy_shap

tidy shap