Man pages for bbuchsbaum/rMVPA
Multivoxel Pattern Analysis in R

as_roias_roi
classification_resultCreate a 'classification_result' instance
compute_performancecompute_performance
cross_validationbootstrap_blocked_cross_validation
crossval_samplescrossval_samples
crossv_blockcrossv_block
crossv_bootstrap_blockcrossv_bootstrap_block
crossv_kcrossv_k
crossv_seq_blockX <- data.frame(x1=rnorm(100), x2=rnorm(100)) y <-...
crossv_twofoldcrossv_twofold
custom_performancecustom_performance
data_sampledata_sample
external_crossvalexternal_crossval
extract_sampleextract_sample
feature_selectorfeature_selector
fit_modelfit_model
gen_sample_datasetgen_sample_dataset
get_samplesget_samples
get_searchlightget_searchlight
group_meansgroup_means
has_test_sethas_test_set
list_modela list of model fits
load_modelload_model
manova_designmanova_design
manova_iteratemanova_iterate
manova_modelmanova_model
merge_predictionsmerge_predictions
merge_resultsmerge_results
model_fitthe result of a single model fit to a chunk of data
mvpa_datasetmvpa_dataset
mvpa_designmvpa_design
mvpa_iteratemvpa_iterate
mvpa_modelmvpa_model
mvpa_surface_datasetmvpa_surface_dataset
nobsnobs
nresponsesnresponses
performance-methodsperformance
predict.class_model_fitpredict class membership given new data
predicted_classpredicted_class
predict.regression_model_fitpredict values given new data
prob_observedprob_observed
rMVPArMVPA: A package for multi-voxel pattern analysis (MVPA)
rsa_designrsa_design
rsa_iteratersa_iterate
rsa_modelrsa_model
run_regionalRegion of interest based MVPA analysis
run_searchlightrun_searchlight
select_featuresselect_features
sub_resultsub_result
train_modeltrain_model
tune_gridtune_grid
tune_modeltune_model
weighted_modelweighted_model
wrap_outputwrap_output
y_testy_test
y_trainy_train
bbuchsbaum/rMVPA documentation built on Nov. 7, 2019, 5:34 a.m.