Tools designed to make it easier for beginner and intermediate users to build and validate
binary logistic regression models. Includes bivariate analysis, comprehensive regression output,
model fit statistics, variable selection procedures, model validation techniques and a 'shiny'
app for interactive model building.

Tools for Developing Binary Logistic Regression Models

package-ubuntu-20.04-r-4.0.5#cran#blorr-0.3.0

<table summary="R argblock"><tr valign="top">
<td><code>model</code></td>
<td>
<p>An object of class <code>glm</code>.</p>
</td>
</tr></table>

model <- glm(honcomp ~ female + read + science, data = hsb2,
            family = binomial(link = 'logit'))

blr_rsq_count(model)

package-ubuntu-20.04-r-4.0.5#cran#blorr-0.3.0#docs#blr_rsq_count

blr_rsq_count

Description

Usage

Arguments

Value

Examples

blorr

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