Jan 5, 2023 · ADF test in level: statsmodels.tsa.stattools.adfuller(df['a']) gives a large p-value, so we conclude that the time series is non-stationary. The test gives an optimal lag length of 2 based on AIC.

Jun 8, 2022 · Linear Mixed Model R2 Calculation using statsmodels Ask Question Asked 3 years, 6 months ago Modified 3 years, 5 months ago

Aug 18, 2022 · 2 I am using the statsmodels python package to perform multivariate linear regression. I want to produce 80% prediction interval bands as part of my result. The statsmodels package can …

Apr 28, 2020 · 98.24561403508771 Now I want to do something similar in the statsmodel library I do the following (continuing in the same notebook): import statsmodels.api as sm Xs = …

Jul 7, 2020 · Hierarchical modelling in Python with statsmodels Ask Question Asked 5 years, 5 months ago Modified 5 years, 5 months ago

I would like to run an ordinal logistic regression in Python - for a response variable with three levels and with a few explanatory factors. The statsmodels package supports binary logit and multin...

May 23, 2021 · I have a Poisson model (displayed below), where my $\\epsilon_e$ term is designed to handle over-dispersion. I was curious if statsmodels has an easy way of returning a coefficient …

Dec 10, 2019 · I'm relatively new to regression analysis in Python. I'm running a logistic regression on a dataset in a dataframe using the Statsmodels package. I've seen several examples, including the …

Jul 8, 2022 · Implementing a Conditional Logit in Python StatsModels Ask Question Asked 3 years, 5 months ago Modified 1 year, 4 months ago

Jun 10, 2022 · 1 I'm using statsmodels to fit a statistical model. I have a formula that is fitted like this: formula = "Y ~ X1 + X2 + X1:X2" model = rlm(formula, data=x_train) result = model.fit() After I fit the …