extract_c

Function to calculate c-index from a an AFCM or LFCM fit

internal

Methods and tools for deriving spatial summary functions from single-cell imaging
data and performing functional data analyses. Functions can be applied to other single-cell
technologies such as spatial transcriptomics. Functional regression and functional principal component analysis methods
are in the 'refund' package <https://cran.r-project.org/package=refund> while calculation of the
spatial summary functions are from the 'spatstat' package <https://spatstat.org/>.

Alex Soupir

mxfda

A Functional Data Analysis Package for Spatial Single Cell Data

Julia Wrobel

extract_c function

<dl><dt>fit</dt>
<dd>fit AFCM or LFCM model fit object.</dd>
<dt>survival_time</dt>
<dd>Vector of survival/censoring times</dd>
<dt>event</dt>
<dd>Survival statust (0 = censored, 1 = event)</dd></dl>

Arguments

Author

extract_c — extract_c

<dl>

<dt>fit</dt>
<dd>fit AFCM or LFCM model fit object.</dd>


<dt>survival_time</dt>
<dd>Vector of survival/censoring times</dd>


<dt>event</dt>
<dd>Survival statust (0 = censored, 1 = event)</dd>

</dl>

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extract_c: extract_c

Description

Usage

Value

Arguments

Author