https://hdl.handle.net/10481/17730 2026-04-12T07:01:06Z https://hdl.handle.net/10481/112400 Métodos de Inferencia Estadística en la Información Científica Escabias Machuca, Manuel Material de trabajo para la asignatura de Métodos de Inferencia Estadística en la Información Científica del Máster Universitario en Información y Comunicación Científica de la Universidad de Granada. https://hdl.handle.net/10481/108928 R code and data used in paper "New approaches for scalar-on-function regression via independent component analysis" Ortiz, Helena; Acal González, Christian José; Vidal, Marc; Roldan, Juan B; Aguilera Del Pino, Ana María In the interest of transparency and knowledge transfer, the attached file contains the data used and the code scripts implemented in the R statistical software for the paper entitled “New approaches for scalar-on-function regression via independent component analysis”.; In the “Models” folder, the CaseI and CaseII files can be found; these contain the functions used to simulate the data for the first and second simulations, respectively. The “Methods” folder includes the functions corresponding to the employed methods (1–12), as well as the fica and fica_hybrid functions, which are used to run the different types of FICA. In addition, this folder contains the Simulation file, from which all simulation data are generated and the corresponding results are obtained. Finally, the “RRAMs” folder includes the basic coefficients for the set and reset curves, along with the response variable data in CSV format, where column 4 corresponds to set and column 5 to reset. Important: To run the simulation, the directories containing the models and the methods must be defined before loading each of them.