DiscreteCovariateNames

Detect elements in covariates which match a string from the discrete_covariates
argument.

This is a collection of assorted functions and examples collected
from various projects. Currently we have functionalities for simplifying
overlapping time intervals, Charlson comorbidity score constructors for
Danish data, getting frequency for multiple variables, getting standardized
output from logistic and log-linear regressions, sibling design linear
regression functionalities a method for calculating the confidence intervals
for functions of parameters from a GLM, Bayes equivalent for hypothesis
testing with asymptotic Bayes factor, and several help functions for
generalized random forest analysis using 'grf'.

Kim Daniel Jakobsen

EpiForsk

Code Sharing at the Department of Epidemiology Research at
Statens Serum Institut

Anders Husby

Anna Laksafoss

Emilia Myrup Thiesson

Mikael Andersson

Klaus Rostgaard

DiscreteCovariateNames function

<dl><dt>covariates</dt>
<dd>character, names of covariates</dd>
<dt>discrete_covariates</dt>
<dd>character, names of discrete covariates. Currently
it is assumed that discrete covariates are one-hot encoded with naming in
covariates following <code>{fct_nm}_{lvl_nm}</code>.</dd></dl>

Arguments

Author

Extract discrete covariate names — DiscreteCovariateNames

<dl>

<dt>covariates</dt>
<dd>character, names of covariates</dd>


<dt>discrete_covariates</dt>
<dd>character, names of discrete covariates. Currently
it is assumed that discrete covariates are one-hot encoded with naming in
covariates following <code>{fct_nm}_{lvl_nm}</code>.</dd>

</dl>

DiscreteCovariateNames: Extract discrete covariate names

Description

Usage

Value

Arguments

Author

Examples