Package index
-
back_project()
- back_project
-
calculate_model()
- ' select the best model function
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count_studies()
- count_studies
-
create_door_database()
- Compose a Response Matrix of All Odor Receptors
-
door_default_values()
- default values for DoOR functions
-
door_norm()
- rescale the data values from 0 to 1
-
dplot_across_osns()
- dplot_across_osns
-
dplot_across_ru()
- dplot_across_ru
-
dplot_al_map()
- dplot_al_map
-
dplot_compare_profiles()
- Compare two response profiles
-
dplot_response_matrix()
- dplot_response_matrix
-
dplot_response_profile()
- dplot_response_profile
-
dplot_tuningCurve()
- dplot_tuningCurve
-
estimate_missing_value()
- Estimate the missing entries in a response data
-
export_door_data()
- export data
-
get_dataset()
- getDataset
-
get_normalized_responses()
- Find normalised receptor responses
-
get_responses()
- Find receptor responses
-
identify_sensillum()
- identify_sensillum
-
import_new_data()
- Import new data into DoOR
-
load2list()
- load2list
-
map_receptor()
- map_receptor
-
model_response()
- Generates a model response
-
model_response_seq()
- model_response_seq
-
private_odorant()
- private_odorant
-
project_points()
- project_points
-
remove_study()
- Remove a study from DoOR
-
reset_sfr()
- reset SFR
-
select_model()
- compute the data pairwise and and selects a pair with the lowest "MD" value.
-
sparse()
- Calculate the sparseness of a vector.
-
trans_id()
- trans_id
-
update_door_database()
- update response matrix
-
update_door_odorinfo()
- update_door_odorinfo