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Scope of the paper is as follows:
- [x] #305
- [ ] #139
- [ ] #502
- [x] #306
- [ ] Writing document template of the article with all subsections
- [ ] Writing the paper, introduction, physica…
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### Summary
Hi all,
This may sound silly but I'm really new to nipype and fMRI analysis in general.
So I created a design matrix for a memory task (1 run) and I'm trying to model the effect of …
mz973 updated
5 years ago
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### Basics
- [ ] 1. Intro to R (1) (Part 1)
- [ ] 2. Intro to tidyverse (1) (Part 1)
- [ ] 3. Data visualization with ggplot2 (1) (Part 1)
- [ ] 8. Exploratory data analysis (1) (Part 1)
### …
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(another idea for diagnostic checks that should work in a relatively general way)
split observations into subgroups or strata by a predicted value, e.g. linear prediction in GLM or parametric survi…
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The following functionality is being developed for future versions of **spm1d**:
**STATISTICS**
- P values for non-significant results
- Direction selection ("positive" or "negative") for one-tai…
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### Softwares
Software: SPM
### Input data
derivatives (fMRIprep)
### Additional context
Test SPM batch of the team
### List of tasks
Please tick the boxes below once the corresponding task i…
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**### Title: Model Evaluation and Comparison for Loan Prediction**
**Description:**
This issue pertains to the implementation and evaluation of various machine learning models for predicting loa…
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The real time costs when using the UtilityCost:Tariff fields Real Time Pricing Charge Schedule Name and Customer Baseline Load Schedule Name are computed each timestep but not reported. Add output var…
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(I don't see an issue, but I thought it was mentioned before.)
Stata has accelerated failure time and proportional hazard parametric survival models. Implementing those is a GSOC idea that doesn't …
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### 🚀 Describe the improvement or the new tutorial
[`TorchSurv`](https://github.com/Novartis/torchsurv) is a Python package that serves as a companion tool to perform deep survival modeling within …