get_slope_intercept_cross

help function to keep slope and intercept portion ready in mixed model
expression

A collection of functions to construct Markov model for model-based
cost-effectiveness analysis. This includes creating Markov model (both time
homogenous and time dependent models), decision analysis, sensitivity
analysis (deterministic and probabilistic). The package allows estimation
of parameters for the Markov model from a given individual patient level
data, provided the data file follows some standard data entry rules.

Sheeja Manchira Krishnan

packDAMipd

Decision Analysis Modelling Package with Parameters Estimation
Ability from Individual Patient Level Data

get_slope_intercept_cross function

<dl><dt>expression</dt>
<dd>expression created so far</dd>
<dt>random_intercept_vars, </dt>
<dd>names of variables for random intercept</dd>
<dt>intercept_vars_pairs, </dt>
<dd>those of the random intercept variables
with nested effect</dd>
<dt>random_slope_intercept_pairs, </dt>
<dd>random slopes intercept pairs
this is a list of paired variables</dd>
<dt>uncorrel_slope_intercept_pairs, </dt>
<dd>variables with correlated intercepts</dd></dl>

Arguments

help function to keep slope and intercept portion ready in mixed model
expression — get_slope_intercept_cross

<dl>

<dt>expression</dt>
<dd>expression created so far</dd>


<dt>random_intercept_vars, </dt>
<dd>names of variables for random intercept</dd>


<dt>intercept_vars_pairs, </dt>
<dd>those of the random intercept variables
with nested effect</dd>


<dt>random_slope_intercept_pairs, </dt>
<dd>random slopes intercept pairs
this is a list of paired variables</dd>


<dt>uncorrel_slope_intercept_pairs, </dt>
<dd>variables with correlated intercepts</dd>

</dl>

get_slope_intercept_cross: help function to keep slope and intercept portion ready in mixed model expression

Description

Usage

Value

Arguments