spglm 1.1.0
  • Installation
  • Tutorials
  • API
  • References
  • Site

      Contents:

      • Installation
        • Installing with conda (highly recommended)
        • Installing via PyPI
        • Installing development version
      • Tutorials
        • Binomial GLM
        • Poisson GLM
        • Gaussian GLM
      • API
        • GLM
      • References
  • Page

    Index

    _ | A | B | D | F | G | L | N | P | R | S | T

    _

    • __init__() (spglm.glm.GLM method)
      • (spglm.glm.GLMResults method)

    A

    • adj_D2() (spglm.glm.GLMResults method)
    • adj_pseudoR2() (spglm.glm.GLMResults method)
    • aic() (spglm.glm.GLMResults method)

    B

    • bic() (spglm.glm.GLMResults method)

    D

    • D2() (spglm.glm.GLMResults method)
    • deviance() (spglm.glm.GLMResults method)
    • df_model() (spglm.glm.GLM method)
      • (spglm.glm.GLMResults method)
    • df_resid() (spglm.glm.GLM method)
      • (spglm.glm.GLMResults method)

    F

    • fit() (spglm.glm.GLM method)

    G

    • GLM (class in spglm.glm)
    • GLMResults (class in spglm.glm)

    L

    • llf() (spglm.glm.GLMResults method)
    • llnull() (spglm.glm.GLMResults method)

    N

    • normalized_cov_params() (spglm.glm.GLMResults method)
    • null() (spglm.glm.GLMResults method)
    • null_deviance() (spglm.glm.GLMResults method)

    P

    • pearson_chi2() (spglm.glm.GLMResults method)
    • pseudoR2() (spglm.glm.GLMResults method)

    R

    • resid_anscombe() (spglm.glm.GLMResults method)
    • resid_deviance() (spglm.glm.GLMResults method)
    • resid_pearson() (spglm.glm.GLMResults method)
    • resid_response() (spglm.glm.GLMResults method)
    • resid_working() (spglm.glm.GLMResults method)

    S

    • scale() (spglm.glm.GLMResults method)

    T

    • tr_S() (spglm.glm.GLMResults method)

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