preliminaries.py

# -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>

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# Learn More and Get Help

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# Documentation: http://statsmodels.sf.net
# 
# Mailing List: http://groups.google.com/group/pystatsmodels
# 
# Use the source: https://github.com/statsmodels/statsmodels

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# Tutorial Import Assumptions

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import numpy as np
import statsmodels.api as sm
import matplotlib.pyplot as plt
import pandas
from scipy import stats

np.set_printoptions(precision=4, suppress=True)
pandas.set_printoptions(notebook_repr_html=False,
                        precision=4,
                        max_columns=12)

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# Statsmodels Import Convention

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import statsmodels.api as sm

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# Import convention for models for which a formula is available.

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from statsmodels.formula.api import ols, rlm, glm, #etc.

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# Package Overview

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# Regression models in statsmodels.regression

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# Discrete choice models in statsmodels.discrete

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# Robust linear models in statsmodels.robust

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# Generalized linear models in statsmodels.genmod

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# Time Series Analysis in statsmodels.tsa

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# Nonparametric models in statsmodels.nonparametric

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# Plotting functions in statsmodels.graphics

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# Input/Output in statsmodels.iolib (Foreign data, ascii, HTML, $\LaTeX$ tables)

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# Statistical tests, ANOVA in statsmodels.stats

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# Datasets in statsmodels.datasets (See also the new GPL package Rdatasets: https://github.com/vincentarelbundock/Rdatasets)

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# Base Classes

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from statsmodels.base import model

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help(model.Model)

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help(model.LikelihoodModel)

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help(model.LikelihoodModelResults)

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from statsmodels.regression.linear_model import RegressionResults

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help(RegressionResults)