Package: infer 1.1.0.9000

Simon Couch

infer: Tidy Statistical Inference

The objective of this package is to perform inference using an expressive statistical grammar that coheres with the tidy design framework.

Authors:Andrew Bray [aut], Chester Ismay [aut], Evgeni Chasnovski [aut], Simon Couch [aut, cre], Ben Baumer [aut], Mine Cetinkaya-Rundel [aut], Ted Laderas [ctb], Nick Solomon [ctb], Johanna Hardin [ctb], Albert Y. Kim [ctb], Neal Fultz [ctb], Doug Friedman [ctb], Richie Cotton [ctb], Brian Fannin [ctb]

infer_1.1.0.9000.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
infer/json (API)

# Install 'infer' in R:
install.packages('infer', repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tidymodels/infer/issues

Pkgdown/docs site:https://infer.tidymodels.org

Datasets:
  • gss - Subset of data from the General Social Survey (GSS).

On CRAN:

Conda:

16.27 score 792 stars 18 packages 4.7k scripts 32k downloads 7 mentions 30 exports 32 dependencies

Last updated from:0b9c910e65. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE212
source / vignettesOK286
linux-release-x86_64NOTE217
macos-release-arm64NOTE167
macos-oldrel-arm64NOTE138
windows-develNOTE143
windows-releaseNOTE132
windows-oldrelNOTE195
wasm-releaseOK126

Exports:%>%assumecalculatechisq_statchisq_testconf_intfitfit.infergenerateget_ciget_confidence_intervalget_p_valueget_pvalueggplot_addhypothesisehypothesizeobservep_valueprop_testrep_sample_nrep_slice_sampleshade_cishade_confidence_intervalshade_p_valueshade_pvaluespecifyt_statt_testvisualisevisualize

Dependencies:backportsbroomclicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpatchworkpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Tidy t-Tests with infer
Introduction | 1-Sample t-Test | 2-Sample t-Test
Rendered fromt_test.Rmdusingknitr::rmarkdown

Last update: 2025-06-26
Started: 2020-06-14

Full infer Pipeline Examples
Introduction | Hypothesis tests | One numerical variable (mean) | One numerical variable (standardized mean $t$) | One numerical variable (median) | One numerical variable (paired) | One categorical (one proportion) | One categorical variable (standardized proportion $z$) | Two categorical (2 level) variables | Two categorical (2 level) variables (z) | One categorical (>2 level) - GoF | Two categorical (>2 level): Chi-squared test of independence | One numerical variable, one categorical (2 levels) (diff in means) | One numerical variable, one categorical (2 levels) (t) | One numerical variable, one categorical (2 levels) (diff in medians) | One numerical, one categorical (>2 levels) - ANOVA | Two numerical vars - SLR | Two numerical vars - correlation | Two numerical vars - SLR (t) | Multiple explanatory variables | Confidence intervals | One numerical (one mean) | One numerical (one mean - standardized) | Two categorical variables (diff in proportions) | Two categorical variables (z) | Two numerical vars - t
Rendered fromobserved_stat_examples.Rmdusingknitr::rmarkdown

Last update: 2025-04-30
Started: 2018-07-08

Getting to Know infer
Introduction | specify(): Specifying Response (and Explanatory) Variables | hypothesize(): Declaring the Null Hypothesis | generate(): Generating the Null Distribution | calculate(): Calculating Summary Statistics | Other Utilities | Theoretical Methods | Multiple regression | Conclusion
Rendered frominfer.Rmdusingknitr::rmarkdown

Last update: 2025-04-30
Started: 2019-11-18

Tidy ANOVA (Analysis of Variance) with infer
Rendered fromanova.Rmdusingknitr::rmarkdown

Last update: 2025-04-30
Started: 2020-06-14

Tidy Chi-Squared Tests with infer
Introduction | Test of Independence | Goodness of Fit
Rendered fromchi_squared.Rmdusingknitr::rmarkdown

Last update: 2025-04-30
Started: 2020-06-14

Tidy inference for paired data
Introduction
Rendered frompaired.Rmdusingknitr::rmarkdown

Last update: 2025-04-30
Started: 2023-07-21