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)