mcglm

• mcglm library
  • mcglm.mcglm module
    • MCGLM
      • MCGLM.df_model
      • MCGLM.df_resid
      • MCGLM.fit()
    • MCGLMParameters
      • MCGLMParameters.generate_var_variability()
    • MCGLMResults
      • MCGLMResults.aic
      • MCGLMResults.anova()
      • MCGLMResults.bic
      • MCGLMResults.bse
      • MCGLMResults.loglikelihood
      • MCGLMResults.mu
      • MCGLMResults.pearson_residuals
      • MCGLMResults.pvalues
      • MCGLMResults.summary()
      • MCGLMResults.tvalues
      • MCGLMResults.vcov
  • Submodules
  • mcglm.dependencies module
    • mc_id()
    • mc_ma()
    • mc_mixed()
  • mcglm.mcglmcattr module
    • MCGLMCAttributes
      • MCGLMCAttributes.c_complete()
      • MCGLMCAttributes.c_inverse()
  • mcglm.mcglmmean module
    • MCGLMMean
      • MCGLMMean.calculate_mean_features()
      • MCGLMMean.update_beta()
  • mcglm.mcglmvariance module
    • MCGLMVariance
      • MCGLMVariance.generate_sensitivity()
      • MCGLMVariance.update_covariates()
  • mcglm.utils module
    • diagonal()
    • mc_matrix_linear_predictor()
    • mc_sandwich()
    • mc_sandwich_csr()
    • mc_sandwich_power()
    • mc_sandwich_power_csr()
  • Module contents
    • MCGLM
      • MCGLM.df_model
      • MCGLM.df_resid
      • MCGLM.fit()
    • MCGLMCAttributes
      • MCGLMCAttributes.c_complete()
      • MCGLMCAttributes.c_inverse()
    • MCGLMMean
      • MCGLMMean.calculate_mean_features()
      • MCGLMMean.update_beta()
    • MCGLMVariance
      • MCGLMVariance.generate_sensitivity()
      • MCGLMVariance.update_covariates()
    • mc_id()
    • mc_ma()
    • mc_mixed()