| analyse | Sensory data analysis |
| cochran_qtest | [RVAideMemoire] Cochran's Q test |
| create_template | Create template for sensory table |
| discriminate | Discrimination test |
| inspect_attribute | Inspect sensory attribute |
| inspect_panel | Inspect panel |
| inspect_panelist | Inspect panelist |
| inspect_panelist_liking | Inspect liking |
| inspect_panelist_preference | Inspect preference |
| inspect_product | Inspect product |
| inspect_product_liking | Inspect liking |
| inspect_product_preference | Inspect preference |
| inspect_space | Inspect sensory space |
| perform_anova | Analysis of variance |
| perform_ca | Correspondance Analysis |
| perform_cochran | Cochran's Q test |
| perform_friedman | Friedman rank sum test |
| perform_liking_analysis | Liking analysis |
| perform_mdpref | Internal preference mapping |
| perform_panel_analysis | Panel analysis |
| perform_pca | Principal Component Analysis |
| perform_penalty | Penalty analysis |
| perform_prefmap | External preference mapping |
| perfume_jar | Perfume QDA Consumers |
| perfume_qda_consumers | Perfume QDA Consumers |
| perfume_qda_experts | Perfume QDA Experts |
| pipe | Pipe operator |
| prepare | Prepare sensory experiment |
| sensehubr-package | sensehubr: A Tidy Approach for Sensory Analyses |
| sensochoc | Sensory data for 6 chocolates |
| specify | Specify sensory table |
| visualise | Visualise product or sensory attributes |
| visualise-global | Visualise sensory space |
| visualise-local | Visualise sensory properties |
| visualise-penalty | Visualise penalty |
| visualise.tbl_sensory_discrim | Visualise Perceptual distribution |
| visualise.tbl_sensory_prefmap | Visualise External Preference Map |
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