maineffect

Estimate age and period effect from APCI model

It implemented Age-Period-Interaction Model (APC-I Model) proposed in the paper of Liying Luo and James S. Hodges in 2019. A new age-period-cohort model for describing and investigating inter-cohort differences and life course dynamics.

Jiahui Xu

APCI

A New Age-Period-Cohort Model for Describing and Investigating
Inter-Cohort Differences and Life Course Dynamics

Liying Luo

maineffect function

<dl><dt>A, P, C</dt>
<dd>The numbers of age groups, period groups, and cohort groups separately.</dd>
<dt>model</dt>
<dd>A generalized linear regression model generated from
the internal function temp_model</dd>
<dt>data</dt>
<dd>A data frame containing the outcome variable, age group
indicator, period group indicator, and covariates to be used in the model.
If the variable(s) are not found in data, there will be an error message
reminding the users to check the input data again.</dd>
<dt>gee</dt>
<dd>Logical, indicating if the data is cross-sectional data or
longitudinal/panel data. If <code>TRUE</code>, the generalized estimating equation
will be used to correct the standard error estimates. The default is
<code>FALSE</code>, indicating that the data are cross-sectional.</dd>
<dt>...</dt>
<dd>Additional arguments to be passed to the function.</dd></dl>

Arguments

Estimate age effect and period effect — maineffect

<dl>

<dt>A, P, C</dt>
<dd>The numbers of age groups, period groups, and cohort groups separately.</dd>


<dt>model</dt>
<dd>A generalized linear regression model generated from
the internal function temp_model</dd>


<dt>data</dt>
<dd>A data frame containing the outcome variable, age group
indicator, period group indicator, and covariates to be used in the model.
If the variable(s) are not found in data, there will be an error message
reminding the users to check the input data again.</dd>


<dt>gee</dt>
<dd>Logical, indicating if the data is cross-sectional data or
longitudinal/panel data. If <code>TRUE</code>, the generalized estimating equation
will be used to correct the standard error estimates. The default is
<code>FALSE</code>, indicating that the data are cross-sectional.</dd>


<dt>...</dt>
<dd>Additional arguments to be passed to the function.</dd>

</dl>

maineffect: Estimate age effect and period effect

Description

Usage

Value

Arguments