twostage_regress
statsmodels
| twostage_regress | statsmodels | |
|---|---|---|
| 1 | 8 | |
| 1 | 9,608 | |
| - | 1.5% | |
| 1.8 | 9.4 | |
| over 1 year ago | 4 days ago | |
| Python | ||
| - | BSD 3-clause "New" or "Revised" License |
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twostage_regress
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instrumental variable regression on python
Here the github link: https://github.com/calosor/twostage_regress
statsmodels
- statsmodels Release Candidate 0.14.0rc0 tagged
- How to generate Errors using Scipy Minimize with Powell Method
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[P] statsmodels.tsa.holtwinters.ExponentialSmoothing results in NaN forecasts and parameters when fitting on entire dataset using known parameters from training model.
I reckon you're more likely to get a good response on their Github page than here. Unless a dev happens to see this post.
- Statsmodels 0.13.3 released with Python 3.11 support
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First Year UG here, can someone offer any coding advice?
The method they use for computing the parameter covariance (in the code here, around line 330) involves some linear algebra, as they use the Moore-Penrose pseudo-inverse of the outputs.
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How do you usually build your models?
Since you are using python, pandas, scikit-learn, scipy, and statsmodels are what you are looking for
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Advice required to choose appropriate software for an assignment
Can't you get a student discount for Stata? R would definitely be able to handle everything. For Python, have a look through the statsmodel package https://github.com/statsmodels/statsmodels
- [C] I have an MS in Statistics - how can I get better at coding?
What are some alternatives?
ols_regression - OLS regression with possibility of controlling for fixed effects and robust standard errors
SciPy - SciPy library main repository
machine_learning_basics - Plain python implementations of basic machine learning algorithms
Numba - NumPy aware dynamic Python compiler using LLVM
PyMC - Bayesian Modeling and Probabilistic Programming in Python
Dask - Parallel computing with task scheduling
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
SymPy - A computer algebra system written in pure Python
NumPy - The fundamental package for scientific computing with Python.
NetworkX - Network Analysis in Python
Biopython - Official git repository for Biopython (originally converted from CVS)