interpretCI: Estimate the Confidence Interval and Interpret Step by Step

Estimate confidence intervals for mean, proportion, mean difference for unpaired and paired samples and proportion difference. Plot the confidence intervals. Generate documents explaining the statistical result step by step.

Version:	0.1.1
Imports:	dplyr, purrr, tidyr, rlang, ggplot2, scales, ggbeeswarm, patchwork, aplot, rstudioapi, rmarkdown, flextable, officer, english, RColorBrewer, moonBook
Suggests:	knitr, PairedData, glue
Published:	2022-01-28
Author:	Keon-Woong Moon [aut, cre]
Maintainer:	Keon-Woong Moon <cardiomoon at gmail.com>
License:	GPL-3
URL:	https://github.com/cardiomoon/interpretCI, https://cardiomoon.github.io/interpretCI/
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	interpretCI results

Documentation:

Reference manual:

interpretCI.pdf

Vignettes:

Confidence interval for a mean Confidence interval for a proportion Confidence interval for the paired mean difference Confidence interval for the difference between proportions Confidence interval for the unpaired mean difference Hypothesis test for the difference between proportions Hypothesis test for the difference between paired means Hypothesis test for the difference between means Hypothesis test for a mean Hypothesis test for a proportion R package interpretCI

Downloads:

Package source:	interpretCI_0.1.1.tar.gz
Windows binaries:	r-devel: interpretCI_0.1.1.zip, r-release: interpretCI_0.1.1.zip, r-oldrel: interpretCI_0.1.1.zip
macOS binaries:	r-release (arm64): interpretCI_0.1.1.tgz, r-oldrel (arm64): interpretCI_0.1.1.tgz, r-release (x86_64): interpretCI_0.1.1.tgz, r-oldrel (x86_64): interpretCI_0.1.1.tgz

Linking:

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