API for AstraZeneca/INSPECTumours
IN-vivo reSPonsE Classification of Tumours

Global functions
.onAttach Source code
aggregate_study_info Man page Source code
animal_info_classification Man page Source code
assess_efficacy Man page Source code
below_min_points Man page Source code
calc_gr Man page Source code
calc_probability Man page Source code
calc_survived Man page Source code
change_time_multi Man page Source code
change_time_single Man page Source code
classify_data_point Man page Source code
classify_subcategories Man page Source code
classify_type_responder Man page Source code
clean_string Man page Source code
control_growth_plot Man page Source code
example_data Man page
exclude_data Man page Source code
expand_palette Man page Source code
f_start Man page Source code
get_responder Man page Source code
guess_match Man page Source code
hide_outliers Man page Source code
load_data Man page Source code
make_terms Man page Source code
mod_classification_server Source code
mod_classification_ui Source code
mod_exclude_server Source code
mod_exclude_ui Source code
mod_load_file_server Source code
mod_load_file_ui Source code
mod_load_server Source code
mod_load_ui Source code
mod_qc_server Source code
mod_qc_ui Source code
mod_report_server Source code
mod_report_ui Source code
mod_stat_analysis_server Source code
mod_stat_analysis_ui Source code
model_control Man page Source code
notify_error_and_reset_input Man page Source code
ordered_regression Man page Source code
plot_animal_info Man page Source code
plot_class_gr Man page Source code
plot_class_tv Man page Source code
plot_proportions Man page Source code
plot_waterfall Man page Source code
plotly_volume Man page Source code
predict_lm Man page Source code
predict_nlm_multi Man page Source code
predict_nlm_single Man page Source code
predict_regr_model Man page Source code
run_app Man page Source code
run_nl_model Man page Source code
server Source code
set_waiter Man page Source code
ui Source code
AstraZeneca/INSPECTumours documentation built on March 30, 2023, 12:30 p.m.