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iNZightMR (version 2.3.0)

Tools for Exploring Multiple Response Data

Description

Interaction and analysis of multiple response data, along with other tools for analysing these types of data including missing value analysis and calculation of standard errors for a range of covariance matrix results (proportions, multinomial, independent samples, and multiple response).

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Version

Install

install.packages('iNZightMR')

Monthly Downloads

237

Version

2.3.0

License

GPL-3

Maintainer

Tom M. Elliott

Last Published

January 17th, 2024

Functions in iNZightMR (2.3.0)

calcmissing

Calculate missing observation summary
census.at.school.5000

Census at School 5000
between

Compute Between se's
seIndepSes

Independent Standard errors given
iNZightMR-package

iNZightMR: Multiple Response Data Analysis
moecalc

Margin of Error Calculation
seMNprops

Compute SE for Multinomial proportions
iNZightMR

Create iNZightMR multiple response object (MRO)
seBinprops

Independent Binomial Proportions
seCovs

Compute standard error for covariance matrix
mroPara

Calculate MRO inference
byMRO

Calculate MRO inference for subsets
plotcombn

Missing Value plot
barplotMR

Multiple response barplot
seMRprops

Multiple binary response
substrsplit

Extract Common Name from variables