gemmr
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User Guide
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Sample size calculation
Model parameter analysis
Analyses from paper
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gemmr
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A
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C
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D
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F
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G
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H
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L
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M
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N
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P
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R
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_
__init__() (gemmr.estimators.NIPALSCCA method)
(gemmr.estimators.NIPALSPLS method)
(gemmr.estimators.SVDCCA method)
(gemmr.estimators.SVDPLS method)
_add_lowvariance_subspace_components() (in module gemmr.generative_model)
_assemble_Sigmaxy_cca() (in module gemmr.generative_model)
_assemble_Sigmaxy_pls() (in module gemmr.generative_model)
_check_data_home() (in module gemmr.data.loaders)
_check_outcome_data_exists() (in module gemmr.data.loaders)
_check_subspace_dimension() (in module gemmr.generative_model)
_fetch_synthanad() (in module gemmr.data.loaders)
_find_latent_mode_vectors() (in module gemmr.generative_model)
_find_latent_mode_vectors_opti() (in module gemmr.generative_model)
_find_latent_mode_vectors_pc1() (in module gemmr.generative_model)
_find_latent_mode_vectors_qr() (in module gemmr.generative_model)
_generate_dominant_subspace_rotations_from_opti() (in module gemmr.generative_model)
_generate_random_dominant_subspace_rotations() (in module gemmr.generative_model)
_mk_Sigmaxy() (in module gemmr.generative_model)
_save_linear_model() (in module gemmr.sample_size.linear_model)
_Sigmaxy_negative_min_eval() (in module gemmr.generative_model)
_variance_explained_by_latent_modes() (in module gemmr.generative_model)
A
align_weights() (in module gemmr.util)
analyze_dataset() (in module gemmr.sample_analysis.analyzers)
analyze_model() (in module gemmr.sample_analysis.analyzers)
analyze_model_parameters() (in module gemmr.sample_analysis.analyzers)
analyze_resampled() (in module gemmr.sample_analysis.analyzers)
analyze_subsampled() (in module gemmr.sample_analysis.analyzers)
analyze_subsampled_and_resampled() (in module gemmr.sample_analysis.macros)
assoc_test() (in module gemmr.sample_analysis.addon)
assocs_ (gemmr.estimators.NIPALSCCA attribute)
(gemmr.estimators.NIPALSPLS attribute)
(gemmr.estimators.SVDCCA attribute)
(gemmr.estimators.SVDPLS attribute)
C
calc_max_n_required() (in module gemmr.sample_size.interpolation)
calc_n_required() (in module gemmr.sample_size.interpolation)
calc_n_required_all_metrics() (in module gemmr.sample_size.interpolation)
calc_p_value() (in module gemmr.sample_analysis.macros)
calc_schur_complement() (in module gemmr.generative_model)
cca_req_corr() (in module gemmr.sample_size.linear_model)
cca_sample_size() (in module gemmr)
check_positive_definite() (in module gemmr.util)
corrs_ (gemmr.estimators.NIPALSCCA attribute)
(gemmr.estimators.NIPALSPLS attribute)
(gemmr.estimators.SVDCCA attribute)
covs_ (gemmr.estimators.NIPALSPLS attribute)
(gemmr.estimators.SVDPLS attribute)
cv() (in module gemmr.sample_analysis.addon)
D
do_fit_lm() (in module gemmr.sample_size.linear_model)
F
fit() (gemmr.estimators.NIPALSCCA method)
(gemmr.estimators.NIPALSPLS method)
(gemmr.estimators.SVDPLS method)
fit_linear_model() (in module gemmr.sample_size.linear_model)
fit_transform() (gemmr.estimators.SVDPLS method)
G
generate_data() (in module gemmr.generative_model)
generate_example_dataset() (in module gemmr.data)
get_lm_coefs() (in module gemmr.sample_size.linear_model)
H
heatmap_n_req() (in module gemmr.plot)
L
load_metaanalysis() (in module gemmr.data.loaders)
load_metaanalysis_outcomes() (in module gemmr.data.loaders)
load_outcomes() (in module gemmr.data)
loadings_true_pearson() (in module gemmr.sample_analysis.addon)
M
max_min_detector() (in module gemmr.model_selection)
mean_metric_curve() (in module gemmr.plot)
mk_betweenAssocRelError() (in module gemmr.metrics)
mk_betweenAssocRelError_cv() (in module gemmr.metrics)
mk_crossloadingError() (in module gemmr.metrics)
mk_loadingError() (in module gemmr.metrics)
mk_meanBetweenAssocRelError() (in module gemmr.metrics)
mk_scoreError() (in module gemmr.metrics)
mk_scorers_for_cv() (in module gemmr.sample_analysis.addon)
mk_test_statistics_scores() (in module gemmr.sample_analysis.addon)
mk_weightError() (in module gemmr.metrics)
N
n_components_to_explain_variance() (in module gemmr.model_selection)
NIPALSCCA (class in gemmr.estimators)
NIPALSPLS (class in gemmr.estimators)
nPerFtr2n() (in module gemmr.util)
P
pc_spectrum_decay_constant() (in module gemmr.util)
pearson_sample_size() (in module gemmr)
pls_req_corr() (in module gemmr.sample_size.linear_model)
pls_sample_size() (in module gemmr)
polar_hist() (in module gemmr.plot)
power() (in module gemmr.sample_analysis.postproc)
prep_data_for_lm() (in module gemmr.sample_size.linear_model)
preproc_smith() (in module gemmr.data.preprocessing)
print_ds_stats() (in module gemmr.data)
R
rank_based_inverse_normal_trafo() (in module gemmr.util)
remove_between_assocs_perm() (in module gemmr.sample_analysis.postproc)
remove_cv_weights() (in module gemmr.sample_analysis.addon)
remove_test_scores() (in module gemmr.sample_analysis.addon)
(in module gemmr.sample_analysis.postproc)
remove_weights_loadings() (in module gemmr.sample_analysis.addon)
(in module gemmr.sample_analysis.postproc)
S
scores_pairwise_spearmansim_stats() (in module gemmr.sample_analysis.postproc)
scores_true_spearman() (in module gemmr.sample_analysis.addon)
set_data_home() (in module gemmr.data.loaders)
setup_model() (in module gemmr.generative_model)
sparseCCA_penalties() (in module gemmr.sample_analysis.addon)
SVDCCA (class in gemmr.estimators)
SVDPLS (class in gemmr.estimators)
T
test_scores() (in module gemmr.sample_analysis.addon)
transform() (gemmr.estimators.SVDPLS method)
W
weights_pairwise_cossim_stats() (in module gemmr.sample_analysis.postproc)
weights_pc_cossim() (in module gemmr.sample_analysis.addon)
weights_true_cossim() (in module gemmr.sample_analysis.addon)
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