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For example: Within `fitted.FPCA`, `Hmisc::approxExtrap(...)` can probably be dropped in favour of `stats::spline( method = "natural", ... )`. The performance deterioration will probably be minimal b…
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Below is a to do list, where items near the top are considered more important
- [x] Add unit tests
- [x] Add other types of functional regression models
- [x] Update UI for regression functions s…
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- [x] Edit `sim_gfpca` function to simulate Poisson, binary, or Gaussian data
- [x] unhard code K = 4 FPCs
- [x] return correct scores
- [x] check correct scaling of eigenfunctions, and make sure t…
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Hi,
I have been trying to use the fpca regression provided in this packet. However, after browsing the documentation, I have not yet been able to find an example of how to do it.
I have tried th…
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I am running smartPCA with fastmode: YES on a dataset of 188380 SNPs and 50k individuals.
After running like for 200 mins it gives the following error.
`Illegal instruction (core dumped) smart…
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A new S3 function `filiter_by_feature_abundance()` will be an exported wrapper to the `edgeR::filterByExpr()` functionality.
```r
filter_by_feature_abundance
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Hi Clara
I read your paper recently about multivariate FPCA and it is really impressive! I think it can be very helpful in analyzing my own dataset and tried it on a dataset, and found some issues.…
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Hello,
I have another quick question regarding the use of the method FUNNEl. Is the algorithm suitable for single cell data ( analysis is the study of transcriptomics at the single cell level.)?
…
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I am currently using your fda package in order to apply FPCA to data where the number of measurements per patient can vary. Hence, before using pca.fd, I am building the functional objects with, as an…
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Hi!
I'm encountering an issue where I'm using run_fpca and trying to plot the results.
Here is the code I used:
```{r}
mxFDAobject_K_aaces p1 = plot(mxFDAobject_K_aaces, what = 'uni k fpca', …