Getting started
Installation
Background
PCNtoolkit Background
Function & Class Docs
Module Index
Tutorials
DEMO ON NORMATIVE MODELING
Predictive Clinical Neuroscience Toolkit
Hierarchical Bayesian Regression Normative Modelling and Transfer onto unseen site.
Using lifespan models to make predictions on new data
Predictive Clinical Neuroscience Toolkit
The Normative Modeling Framework for Computational Psychiatry Protocol
Data Preparation
Algorithm & Modeling
Evaluation & Interpretation
Visualization of normative modeling outputs
Post-hoc analysis on normative modeling outputs
Load Data
Create Train/Test Splits
Principal Component Regression (BBS)
Connectome Predictive Modelling
Lasso (Linear Regression + L1 Regularization)
Ridge (Linear Regression + L2 Regularization)
Elastic Net (Linear Regression + L1/L2 Regularization)
Other Useful Stuff
Frequently Asked Questions
Glossary
How to cite PCNtoolkit
Acknowledgements
Predictive Clinical Neuroscience Toolkit
Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
L
|
M
|
N
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
|
W
A
alphanum_key() (in module fileio)
B
bashwrap_nm() (in module normative_parallel)
bayesreg
module
BLR (class in bayesreg)
C
check_job_status() (in module normative_parallel)
check_jobs() (in module normative_parallel)
collect_nm() (in module normative_parallel)
cov() (gp.CovBase method)
(gp.CovLin method)
(gp.CovSqExp method)
(gp.CovSqExpARD method)
(gp.CovSum method)
CovBase (class in gp)
CovLin (class in gp)
CovSqExp (class in gp)
CovSqExpARD (class in gp)
CovSum (class in gp)
create_basis() (in module trendsurf)
create_mask() (in module fileio)
D
dcov() (gp.CovBase method)
(gp.CovLin method)
(gp.CovSqExp method)
(gp.CovSqExpARD method)
(gp.CovSum method)
delete_nm() (in module normative_parallel)
dloglik() (bayesreg.BLR method)
(gp.GPR method)
(rfa.GPRRFA method)
E
entrypoint() (in module normative_parallel)
(in module trendsurf)
estimate() (bayesreg.BLR method)
(gp.GPR method)
(in module trendsurf)
(rfa.GPRRFA method)
execute_nm() (in module normative_parallel)
F
file_extension() (in module fileio)
file_stem() (in module fileio)
file_type() (in module fileio)
fileio
module
G
get_args() (in module trendsurf)
get_n_params() (gp.CovBase method)
(gp.CovLin method)
(gp.CovSqExp method)
(gp.CovSqExpARD method)
(gp.CovSum method)
(rfa.GPRRFA method)
gp
module
GPR (class in gp)
GPRRFA (class in rfa)
L
load() (in module fileio)
load_ascii() (in module fileio)
load_cifti() (in module fileio)
load_data() (in module trendsurf)
load_nifti() (in module fileio)
load_pd() (in module fileio)
loglik() (bayesreg.BLR method)
(gp.GPR method)
(rfa.GPRRFA method)
M
main() (in module normative_parallel)
(in module trendsurf)
module
bayesreg
fileio
gp
normative_parallel
rfa
trendsurf
util
N
normative_parallel
module
P
penalized_loglik() (bayesreg.BLR method)
post() (bayesreg.BLR method)
(gp.GPR method)
(rfa.GPRRFA method)
predict() (bayesreg.BLR method)
(gp.GPR method)
(rfa.GPRRFA method)
predict_and_adjust() (bayesreg.BLR method)
predictive_interval() (in module fileio)
Q
qsub_nm() (in module normative_parallel)
R
rerun_nm() (in module normative_parallel)
retrieve_jobs() (in module normative_parallel)
rfa
module
S
save() (in module fileio)
save_ascii() (in module fileio)
save_cifti() (in module fileio)
save_nifti() (in module fileio)
save_pd() (in module fileio)
sbatch_nm() (in module normative_parallel)
sbatchrerun_nm() (in module normative_parallel)
sbatchwrap_nm() (in module normative_parallel)
sort_nicely() (in module fileio)
split_nm() (in module normative_parallel)
T
trendsurf
module
tryint() (in module fileio)
U
util
module
V
vol2vec() (in module fileio)
W
write_nii() (in module trendsurf)