mm_run_reg

analysis

string vector with the name(s) of the parameter of interest. Defaults to all.

params

type

order of polynomial for the linear regression metamodel.
Default: 2

poly.order

the dimension of the basis used to represent the smooth term.
 The default depends on the number of variables that the smooth is a
 function of. <code>k</code> should not be less than the dimension of the
 null space of the penalty for the term (see
 <code><a rd-options="mgcv" href="/link/null.space.dimension?package=dampack&version=1.0.0&to=mgcv" data-mini-rdoc="mgcv::null.space.dimension">null.space.dimension</a></code>), but will be reset if
 it is. See <code><a rd-options="mgcv" href="/link/choose.k?package=dampack&version=1.0.0&to=mgcv" data-mini-rdoc="mgcv::choose.k">choose.k</a></code> for further information.

all_params

Build formula and run linear regression for metamodel

internal

A suite of functions for analyzing and visualizing the health economic outputs of mathematical models.
This package was developed with funding from the National Institutes of Allergy and Infectious Diseases of the
National Institutes of Health under award no. R01AI138783. The content of this package is solely the
responsibility of the authors and does not necessarily represent the official views of the National Institutes
of Health. The theoretical underpinnings of 'dampack''s functionality are detailed in Hunink et al. (2014)
<doi:10.1017/CBO9781139506779>.

Greg Knowlton

dampack

Decision-Analytic Modeling Package

Fernando Alarid-Escudero

Caleb Easterly

Eva Enns

mm_run_reg function

the dimension of the basis used to represent the smooth term.
 The default depends on the number of variables that the smooth is a
 function of. <code>k</code> should not be less than the dimension of the
 null space of the penalty for the term (see
 <code><a rd-options='mgcv' href='null.space.dimension'>null.space.dimension</a></code>), but will be reset if
 it is. See <code><a rd-options='mgcv' href='choose.k'>choose.k</a></code> for further information.

mm_run_reg: Build formula and run linear regression for metamodel

Description

Usage

Arguments

Value