A Functional Data Analysis Package for Spatial Single Cell Data
Add Summary Function
bivariate
Can Permute Checker
Entropy
extract_c
extract_entropy
Extract FPCA object
Extract FPCA scores
Extract Model
Summarise spatial data in mxFDA object
Extract Summary Functions
Extract Surface
Filter Data
Filter Spatial data
Gcross
Gest
Get Data
impute_fpca
Is Empty
Kcross
Kest
Lcross
Lest
Make mxFDA class object
Check if Spatial Summary Exists
mxfda: A Functional Data Analysis Package for Spatial Single Cell Data
1/0 Checker
Pipe operator
Create plot of mean +/- scaled eigenfunctions from FPCA
Create plot of mean +/- scaled eigenfunctions from FPCA
Plot afcm object
Plot lfcm surface
Plot mxFDA object
Plot sofr object
process_fcm
Run Function Cox Models
run_fpca
Run function Cox models for data with multiple samples per subject
run_fpca
Run Scalar on Function Regression
spatialTIME summary function extraction
Summary method for object of class mxFDA
univariate
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/>.
Useful links