Search Results for "model-builder"

The Model Zoo of Cognitive Diagnosis Models, including classic Item Response Ranking (IRT), Multidimensional Item Response Ranking (MIRT), Deterministic Input, Noisy "And" model(DINA), and advanced Fuzzy Cognitive Diagnosis Framework (FuzzyCDF), Neural Cognitive Diagnosis Model (NCDM), Item Response Ranking framework (IRR), Incremental Cognitive Diagnosis (ICD) and Knowledge-association baesd extension of NeuralCD (KaNCD).

...Designed for researchers, PhD scholars, professors, students, and analysts, it enables advanced quantitative research without subscriptions, cloud dependencies, or proprietary software restrictions. Key features include visual drag-and-drop model building, bootstrapping, mediation analysis, HTMT, AVE, Composite Reliability (CR), Cronbach's Alpha, model fit assessment, and Multi-Group Analysis (MGA). NAVAL-SEM also supports export to R, Python, and Lavaan for reproducible research workflows. Built for academic and professional research, NAVAL-SEM helps users conduct scale validation, measurement assessment, and structural modeling across disciplines including marketing, management, psychology, education, healthcare, and social sciences. ...

MCPower-GUI is a desktop application that provides a graphical interface for the MCPower Monte Carlo power analysis library. It guides users through the full workflow across three tabs: Model setup (formula input with live parsing, CSV data upload with auto-detected variable types, effect size sliders, and correlation editing), Analysis configuration (find power for a given sample size or find the minimum sample size for a target power, with multiple testing correction and scenario analysis), and Results (interactive charts, exportable tables, and auto-generated Python replication scripts). ...

...On top of this is a high-level framework that allows rapid development of database apps including seach/create/display/update, user navigation between related entities and much more. Included, as a sample application, is FAMTREE: a Family Tree maintenance system. This uses most of the features of CFE and can be used as-is or as a model for developing other applications. Also included is BRIDGE. This allows one or more users to play this card game

...The "mature" data is in json sequence format and can be modeled by XKT and TKT(TBA) The analysis dataset tool only supports the json sequence format. To check the following statical indexes of the dataset. In order to better verify the effectiveness of the model, the dataset is usually divided into train/valid/test or using kfold method. Each item in the sequence represents one interaction. The first element of the item is the exercise id (in some works, the exercise id is not one-to-one mapped to one knowledge unit(ku)/concept, but in junyi, one exercise contains one ku) and the second one indicates whether the learner correctly answers the exercise, 0 for wrongly while 1 for correctly.

...This project aims to make the expanse of human knowledge beautifully presentable and the exabytes of data navigable by an average user via the power of a Unified Data Model and 3d visualization layer for the Web. It will invert the top 3 layers of the OSI network model to make a 3-dimensional presentation layer with a peer-to-peer session layer for the Internet. For the curious, there is a simple demo that provides a small sense of the possibilities. Requires: VPython available here or see http://vpython.org.

NeuroKiwi is the application of the Associative Model (AM, previously dubbed AMDroid), being a model storing relational change-detections. The application tries to emulate ground-up knowledge accumulation with limited or no prior knowledge of shapes or patterns.

The Campaign Simulator is an attempt to statistically model and predict the outcome of an American presidential election; several users assume the roles of competitive candidates and inflict the repercussions of certain decisions on a GSS based dataset.