jmpy.modeling package

Submodules

jmpy.modeling.lm module

jmpy.modeling.lm.check_estimates(model, data, model_type='ols', sample_rate=0.8, iterations=100)

Function to quantify the variation in parameter estimates of a model

jmpy.modeling.lm.fit(model, data, model_type='ols', sample_rate=0.8, figsize=(10, 10), fontsize=12)

Linear regression model with visualization of fitting parameters

Parameters:

• model – patsy model specification
• data – padas dataframe of results
• model_type – ols or rlm (ordinary least squares or robust linear model)
• sample_rate – float (range of 0 to 1). partions traning and testing set
• figsize – figure size of output
• fontsize – fonsize for regression output

Returns:

tuple of axes.

Module contents