delete_start_with

<code>delete_start_with</code> is used for clean the column names in raw data.
For example, R adds "X" at the start of variable names. This function deletes
"X_"s from the column names. This can happen if the raw data have column
names such as "<code>_CASE_ABX</code>". Check <code>clean_perch_data()</code> for
its actual usage.

Provides functions to specify, fit and visualize
nested partially-latent class models (
Wu, Deloria-Knoll, Hammitt, and Zeger (2016) <doi:10.1111/rssc.12101>;
Wu, Deloria-Knoll, and Zeger (2017) <doi:10.1093/biostatistics/kxw037>;
Wu and Chen (2021) <doi:10.1002/sim.8804>) for
inference of population disease etiology and individual diagnosis. In the motivating
Pneumonia Etiology Research for Child Health (PERCH) study, because both quantities
of interest sum to one hundred percent, the PERCH scientists frequently refer to
them as population etiology pie and individual etiology pie, hence the name of the package.

Zhenke Wu

baker

"Nested Partially Latent Class Models"

Scott Zeger

John Muschelli

Irena Chen

delete_start_with function

<dl><dt>s</dt>
<dd>the pattern (a single string) to be deleted from the start.</dd>
<dt>vec</dt>
<dd>a vector of strings with unwanted starting strings (specified by <code>s</code>).</dd></dl>

Arguments

Deletes a pattern from the start of a string, or each of a vector of strings. — delete_start_with

<dl>

<dt>s</dt>
<dd>the pattern (a single string) to be deleted from the start.</dd>


<dt>vec</dt>
<dd>a vector of strings with unwanted starting strings (specified by <code>s</code>).</dd>

</dl>

delete_start_with: Deletes a pattern from the start of a string, or each of a vector of strings.

Description

Usage

Value

Arguments

Examples