Index

C

confidence() (skmisc.loess.loess_prediction method)

D

df (skmisc.loess.loess_prediction attribute)

diagonal (skmisc.loess.loess_outputs attribute) divisor (skmisc.loess.loess_outputs attribute)

E

enp (skmisc.loess.loess_outputs attribute)

F

fit (skmisc.loess.loess_confidence_intervals attribute) fit() (skmisc.loess.loess method)

fitted_residuals (skmisc.loess.loess_outputs attribute) fitted_values (skmisc.loess.loess_outputs attribute)

I

input_summary() (skmisc.loess.loess method)

L

loess (class in skmisc.loess) loess_anova (class in skmisc.loess) loess_confidence_intervals (class in skmisc.loess) loess_control (class in skmisc.loess)

loess_inputs (class in skmisc.loess) loess_model (class in skmisc.loess) loess_outputs (class in skmisc.loess) loess_prediction (class in skmisc.loess) lower (skmisc.loess.loess_confidence_intervals attribute)

M

m (skmisc.loess.loess_prediction attribute)

module skmisc.loess

N

n (skmisc.loess.loess_inputs attribute)

O

one_delta (skmisc.loess.loess_outputs attribute)

output_summary() (skmisc.loess.loess method)

P

p (skmisc.loess.loess_inputs attribute)

predict() (skmisc.loess.loess method) pseudovalues (skmisc.loess.loess_outputs attribute)

R

residual_scale (skmisc.loess.loess_outputs attribute) (skmisc.loess.loess_prediction attribute)

robust (skmisc.loess.loess_outputs attribute)

S

skmisc.loess module

stderr (skmisc.loess.loess_prediction attribute)

T

trace_hat (skmisc.loess.loess_outputs attribute)

two_delta (skmisc.loess.loess_outputs attribute)

U

upper (skmisc.loess.loess_confidence_intervals attribute)

V

values (skmisc.loess.loess_prediction attribute)

X

x (skmisc.loess.loess_inputs attribute)

Y

y (skmisc.loess.loess_inputs attribute)