framebuilder

Generate a data frame given a formula and a dataset.

internal

This work is an extension of the state space model for Poisson count data, Poisson-Gamma model, towards a semiparametric specification. Just like the generalized additive models (GAM), cubic splines are used for covariate smoothing. The semiparametric models are fitted by an iterative process that combines maximization of likelihood and backfitting algorithm.

Washington Junger

pgam

Poisson-Gamma Additive Models

framebuilder function

<dl> <dt>formula</dt>
<dd>model formula</dd> <dt>dataset</dt>
<dd>model dataset</dd></dl>

Arguments

Washington Leite Junger <a href="/link/wjunger%40ims.uerj.br?package=pgam&version=0.4.17" data-mini-rdoc="pgam::wjunger@ims.uerj.br">wjunger@ims.uerj.br</a> and Antonio Ponce de Leon <a href="/link/ponce%40ims.uerj.br?package=pgam&version=0.4.17" data-mini-rdoc="pgam::ponce@ims.uerj.br">ponce@ims.uerj.br</a>

Author

Utility function — framebuilder

<dl>

 <dt>formula</dt>
<dd>model formula</dd>

 <dt>dataset</dt>
<dd>model dataset</dd>

</dl>

Washington Leite Junger <a href='mailto:wjunger@ims.uerj.br'>wjunger@ims.uerj.br</a> and Antonio Ponce de Leon <a href='mailto:ponce@ims.uerj.br'>ponce@ims.uerj.br</a>

framebuilder: Utility function

Description

Usage

Value

Arguments

Author

Details

See Also