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OpenSuSE Ports Tumbleweed for ppc64le
:
/
usr
/share
/doc
/packages
/python312-statsmodels
/examples
/notebooks
autoregressions.ipynb
autoregressive_distributed_lag.ipynb
categorical_interaction_plot.ipynb
chi2_fitting.ipynb
contrasts.ipynb
copula.ipynb
count_hurdle.ipynb
deterministics.ipynb
discrete_choice_example.ipynb
discrete_choice_overview.ipynb
distributed_estimation.ipynb
ets.ipynb
exponential_smoothing.ipynb
formulas.ipynb
gee_nested_simulation.ipynb
gee_score_test_simulation.ipynb
generic_mle.ipynb
glm.ipynb
glm_formula.ipynb
glm_weights.ipynb
gls.ipynb
influence_glm_logit.ipynb
interactions_anova.ipynb
kernel_density.ipynb
linear_regression_diagnostics_plots.ipynb
lowess.ipynb
markov_autoregression.ipynb
markov_regression.ipynb
mediation_survival.ipynb
metaanalysis1.ipynb
mixed_lm_example.ipynb
mstl_decomposition.ipynb
ols.ipynb
ordinal_regression.ipynb
pca_fertility_factors.ipynb
plots_boxplots.ipynb
postestimation_poisson.ipynb
predict.ipynb
quantile_regression.ipynb
quasibinomial.ipynb
recursive_ls.ipynb
regression_diagnostics.ipynb
regression_plots.ipynb
robust_models_0.ipynb
robust_models_1.ipynb
rolling_ls.ipynb
star_diagram.png
statespace_arma_0.ipynb
statespace_chandrasekhar.ipynb
statespace_concentrated_scale.ipynb
statespace_custom_models.ipynb
statespace_cycles.ipynb
statespace_dfm_coincident.ipynb
statespace_fixed_params.ipynb
statespace_forecasting.ipynb
statespace_local_linear_trend.ipynb
statespace_news.ipynb
statespace_sarimax_faq.ipynb
statespace_sarimax_internet.ipynb
statespace_sarimax_pymc3.ipynb
statespace_sarimax_stata.ipynb
statespace_seasonal.ipynb
statespace_structural_harvey_jaeger.ipynb
statespace_tvpvar_mcmc_cfa.ipynb
statespace_varmax.ipynb
stationarity_detrending_adf_kpss.ipynb
stats_poisson.ipynb
stats_rankcompare.ipynb
stl_decomposition.ipynb
theta-model.ipynb
treatment_effect.ipynb
tsa_arma_0.ipynb
tsa_arma_1.ipynb
tsa_dates.ipynb
tsa_filters.ipynb
variance_components.ipynb
wls.ipynb
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Fabrice Bellet
, Tue May 7 00:09:30 2024