Class to contain RLM results
Returns : | **Attributes** : bcov_scaled : array
bcov_unscaled : array
bse : array
chisq : array
df_model :
df_resid :
fit_history : dict
fit_options : dict
fittedvalues : array
model : statsmodels.rlm.RLM
nobs : float
normalized_cov_params : array
params : array
pinv_wexog : array
pvalues : array
resid : array
scale : float
sresid : array
tvalues : array
weights : array
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See also
statsmodels.model.LikelihoodModelResults
Methods
bcov_scaled() | |
bcov_unscaled() | |
bse() | |
chisq() | |
conf_int([alpha, cols, method]) | Returns the confidence interval of the fitted parameters. |
cov_params([r_matrix, column, scale, cov_p, ...]) | Returns the variance/covariance matrix. |
f_test(r_matrix[, q_matrix, cov_p, scale, ...]) | Compute an Fcontrast/F-test for a contrast matrix. |
fittedvalues() | |
initialize(model, params, **kwd) | |
llf() | |
load(fname) | load a pickle, (class method) |
normalized_cov_params() | |
predict([exog]) | |
pvalues() | |
remove_data() | remove data arrays, all nobs arrays from result and model |
resid() | |
save(fname[, remove_data]) | save a pickle of this instance |
sresid() | |
summary([yname, xname, title, alpha, return_fmt]) | This is for testing the new summary setup |
t() | Deprecated method to return t-values. |
t_test(r_matrix[, q_matrix, cov_p, scale]) | Compute a tcontrast/t-test for a row vector array of the form Rb = q |
tvalues() | Return the t-statistic for a given parameter estimate. |
weights() |