{ "_id": "6ab10cc33d719c1f840863dd", "Package": "WordListsAnalytics", "Type": "Package", "Title": "Multiple Data Analysis Tools for Property Listing Tasks", "Version": "0.2.4", "Authors@R": "c(\nperson(\"Sebastian\",\"Moreno\",role = c(\"aut\", \"cre\"),\nemail = \"sebastian.moreno.araya@gmail.com\"),\nperson(\"Cristobal\", \"Heredia\", role = \"aut\"),\nperson(\"Enrique\", \"Canessa\", role = \"ths\"),\nperson(\"Sergio\", \"Chaigneau\", role = \"ths\")\n)", "Maintainer": "Sebastian Moreno ", "Description": "Application to estimate statistical values using\nproperties provided by a group of individuals to describe\nconcepts using 'shiny'. It estimates the underlying\ndistribution to generate new descriptive words Canessa et al.\n(2023) , applies a new\nclustering model, and uses simulations to estimate the\nprobability that two persons describe the same words based on\ntheir descriptions Canessa et al. (2022)\n.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.1", "Collate": "'CPN_27.R' 'CPN_120.R' 'tab_upload_data.R' 'tab_estimations.R'\n'tab_estimate_participants.R' 'tab_property_simulator.R'\n'tab_pa_data.R' 'tab_pa_values.R' 'tab_cluster_image.R'\n'tab_cosine_distance.R' 'tab_t_c_a_calculator.R' 'PLT_ui.R'\n'fun_generate_norms.R' 'fun_estimate_participant.R'\n'fun_property_simulator.R' 'fun_pa_function.R'\n'fun_threshold_graph.R' 'fun_cluster_image_function.R'\n'fun_tca_calculator.R' 'PLT_server.R' 'PLT_app.R'", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-21 10:49:41 UTC", "User": "root" }, "Author": "Sebastian Moreno [aut, cre], Cristobal Heredia [aut], Enrique\nCanessa [ths], Sergio Chaigneau [ths]", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libx11-dev\nzlib1g-dev", "Repository": "https://smorenoa.r-universe.dev", "Date/Publication": "2024-08-31 02:50:06 UTC", "RemoteUrl": 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It clusterizes the data according to the order of the listed properties. Given the mentioned properties of all users for a specific concept, the algorithm estimates a similarity among properties, based on the number of words mentioned between properties. For example, if the properties A and B are usually mentioned one after another, their similarity will be higher than the properties A and C which are usually not even mentioned together. 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