-
Currently if a DataFrame is passed to gridsearch this returns a TypeError: TypeError: unhashable type: 'slice'
This can be avoided by passing dataframe values i.e. gam = LinearGAM.gridsearch(X.values…
-
# Modelgam Project Roadmap - MVP
- [X] Create Package Structure
- [ ] Develop MVP Algorithms (#2) - Get basic use-cases from business-science/modeltime#71, Test on several datasets
- [ ] Develop R…
-
Question via email
> I'm using the DHARMa package to check the residuals of my binomial (0/1) generalized additive models for my master thesis project, and I'm having some difficulties interpreting…
-
### Description
Add analysis of frequencies (ANOFA) functionality
### Purpose
To expand the JASP ANOVA functionality with a novel approach for frequencies data
### Use-case
_No response_
### Is …
-
This outlines a roadmap for basic statistical functionality that Julia needs to offer. It is heavily drawn from the table of contents for MASS.
- [ ] Data processing [DataFrames.jl](https://github.com…
-
Would it be possible by any chance for investr to also support scam (https://cran.r-project.org/web/packages/scam/index.html) and mgcv::gam (https://cran.r-project.org/web/packages/mgcv/index.html) mo…
-
The `{mvgam}` package can now fit flexible latent variable models (including JSDMs) using the new [`jsdgam()` function](https://nicholasjclark.github.io/mvgam/reference/jsdgam.html). Would it be possi…
-
Would it be possible to include a functionality for fitting a model like in GAMLSS? (already mentioned in issue #3915 and #2636)
I am thinking of a simple model with one independent and one depend…
xi2pi updated
3 years ago
-
shrinking the endog is another principle that allows reuse of existing methods for robust regression. This is similar to winsorizing and an alternative to trimming or dropping outliers (e.g. #3273 #9…
-
Notes based on PR #562 for possible redesign of nonparametric regression
model classes in PR #562: KernelReg, KernelCensoredReg, SingleIndexModel, SemiLinear
Model Classes
- fit and predict are merg…