Publication-Ready Inferential Statistics and Visualization

Provides publication-ready tools for inferential statistical analyses, assumption checking, effect size estimation, statistical visualizations, and standardized reporting. Methods for assessing normality follow Shapiro and Wilk (1965) , and guidance for standardized effect sizes is informed by Cohen (1988) .

inferstat

inferstat is an R package for performing descriptive statistics, assumption checking, hypothesis testing, ANOVA, correlation analysis, regression, and publication-ready statistical reporting.

Features

Descriptive statistics
Normality tests
Homogeneity of variance tests
Outlier detection
t-tests
ANOVA
Correlation analysis
Regression analysis
Publication-quality plots
Tidy outputs

Installation

CRAN

install.packages("inferstat")

Development version

remotes::install_github("YOUR_GITHUB_USERNAME/inferstat")

Example

library(inferstat)

describe(
  data = iris,
  response = Sepal.Length
)

check_normality(
  data = iris,
  response = Sepal.Length
)

check_variance(
  data = iris,
  response = Sepal.Length,
  group = Species
)

check_outliers(
  data = iris,
  response = Sepal.Length
)