Pcm for Python
latest
Contents:
Installation
Introduction
Models Specification
Model Fitting
Visualisation
Inference
Regularized regression
Application examples
Mathematical details
API reference
References
Pcm for Python
Index
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Index
B
|
C
|
D
|
E
|
F
|
G
|
I
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
U
B
best_algorithm() (in module optimize)
BlockPlusIndepNoise (class in model)
C
centering() (in module matrix)
check_grad() (in module util)
classical_mds() (in module util)
ComponentModel (class in model)
compute_iVr() (in module regression)
CorrelationModel (class in model)
D
dataset
module
Dataset (class in dataset)
derivative() (model.BlockPlusIndepNoise method)
(model.IndependentNoise method)
E
est_G_crossval() (in module util)
F
FeatureModel (class in model)
fit() (regression.RidgeDiag method)
fit_model_group() (in module inference)
fit_model_group_crossval() (in module inference)
fit_model_individ() (in module inference)
FixedModel (class in model)
FreeModel (class in model)
G
G_to_dist() (in module util)
get_correlation() (model.CorrelationModel method)
get_prior() (model.Model method)
get_scale0() (in module inference)
group_to_individ_param() (in module inference)
I
IndependentNoise (class in model)
indicator() (in module matrix)
inference
module
inverse() (model.BlockPlusIndepNoise method)
(model.IndependentNoise method)
L
likelihood_diagYTY_ZZT() (in module regression)
likelihood_diagYYT_ZTZ() (in module regression)
likelihood_diagYYT_ZZT() (in module regression)
likelihood_group() (in module inference)
likelihood_individ() (in module inference)
M
make_dataset() (in module sim)
make_design() (in module sim)
make_pd() (in module util)
make_signal() (in module sim)
matrix
module
mcmc() (in module optimize)
Model (class in model)
module
dataset
inference
matrix
optimize
regression
sim
util
N
newton() (in module optimize)
NoiseModel (class in model)
O
optimize
module
optimize_regularization() (regression.RidgeDiag method)
P
pairwise_contrast() (in module matrix)
predict() (model.BlockPlusIndepNoise method)
(model.ComponentModel method)
(model.CorrelationModel method)
(model.FeatureModel method)
(model.FixedModel method)
(model.FreeModel method)
(model.IndependentNoise method)
(model.Model method)
(regression.RidgeDiag method)
R
regression
module
RidgeDiag (class in regression)
S
sample_model_group() (in module inference)
set_theta0() (model.BlockPlusIndepNoise method)
(model.ComponentModel method)
(model.CorrelationModel method)
(model.FreeModel method)
(model.IndependentNoise method)
set_up_fit() (in module inference)
set_up_fit_group() (in module inference)
sim
module
U
util
module
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