This data set features the first-year college GPA and four standardized
tests conducted before matriculation.

datasets

Functions to implement model selection and multimodel inference based on Akaike's information criterion (AIC) and the second-order AIC (AICc), as well as their quasi-likelihood counterparts (QAIC, QAICc) from various model object classes.  The package implements classic model averaging for a given parameter of interest or predicted values, as well as a shrinkage version of model averaging parameter estimates or effect sizes.  The package includes diagnostics and goodness-of-fit statistics for certain model types including those of 'unmarkedFit' classes estimating demographic parameters after accounting for imperfect detection probabilities.  Some functions also allow the creation of model selection tables for Bayesian models of the 'bugs', 'rjags', and 'jagsUI' classes.  Functions also implement model selection using BIC.  Objects following model selection and multimodel inference can be formatted to LaTeX using 'xtable' methods included in the package.

Marc J Mazerolle

AICcmodavg

Model Selection and Multimodel Inference Based on (Q)AIC(c)

gpa function

A data frame with 20 rows and 5 variables.<dl>
 <dt><code>gpa.y</code></dt>
<dd>first-year GPA.</dd> <dt><code>sat.math.x1</code></dt>
<dd>SAT math score.</dd>
 
 <dt><code>sat.verb.x2</code></dt>
<dd>SAT verbal score.</dd> <dt><code>hs.math.x3</code></dt>
<dd>high school math score.</dd> <dt><code>hs.engl.x4</code></dt>
<dd>high school English score.</dd>
 
 
</dl>

Format

GPA Data and Standardized Test Scores — gpa

A data frame with 20 rows and 5 variables.<dl>
 <dt><code>gpa.y</code></dt>
<dd>first-year GPA.</dd>

 <dt><code>sat.math.x1</code></dt>
<dd>SAT math score.</dd>
 
 <dt><code>sat.verb.x2</code></dt>
<dd>SAT verbal score.</dd>

 <dt><code>hs.math.x3</code></dt>
<dd>high school math score.</dd>

 <dt><code>hs.engl.x4</code></dt>
<dd>high school English score.</dd>
 
 
</dl>

gpa: GPA Data and Standardized Test Scores

Description

Usage

Arguments

Format

Details

Examples