apc.test.normal.residuals

Function that tests normality of vector of residuals.

Functions for age-period-cohort analysis. Aggregate data can be organised in matrices indexed by age-cohort, age-period or cohort-period. The data can include dose and response or just doses. The statistical model is a generalized linear model (GLM) allowing for 3,2,1 or 0 of the age-period-cohort factors. 2-sample analysis is possible. Mixed frequency data are possible. Individual-level data should have a row for each individual and columns for each of age, period, and cohort. The statistical model for repeated cross-section is a generalized linear model. The statistical model for panel data is ordinary least squares. The canonical parametrisation of Kuang, Nielsen and Nielsen (2008) <DOI:10.1093/biomet/asn026> is used. Thus, the analysis does not rely on ad hoc identification.

Bent Nielsen

Age-Period-Cohort Analysis

Zoe Fannon

apc.test.normal.residuals function

<dl> <dt>list_or_vector</dt>
<dd>EITHER list with object residuals	OR vector of residuals.</dd> <dt>remove.zeros</dt>
<dd>Optional. Logical. Default is FALSE.</dd> <dt>tolerance</dt>
<dd>Optional. Default is 1e-10.</dd> 
</dl>

Arguments

Test normality of residuals — apc.test.normal.residuals

<dl>

 <dt>list_or_vector</dt>
<dd>EITHER list with object residuals	OR vector of residuals.</dd>

 <dt>remove.zeros</dt>
<dd>Optional. Logical. Default is FALSE.</dd>

 <dt>tolerance</dt>
<dd>Optional. Default is 1e-10.</dd>

 
</dl>

apc.test.normal.residuals: Test normality of residuals

Description

Usage

Arguments