It is a hybrid spatial model that combines the variable selection capabilities of stepwise regression methods with the predictive power of the Geographically 
             Weighted Regression(GWR) model.The developed hybrid model follows a two-step approach where the stepwise variable selection method is applied first to identify 
             the subset of predictors that have the most significant impact on the response variable, and then a GWR model is fitted using those selected variables for spatial 
             prediction at test or unknown locations. For method details,see Leung, Y., Mei, C. L. and Zhang, W. X. (2000).<DOI:10.1068/a3162>.This hybrid spatial model aims to 
             improve the accuracy and interpretability of GWR predictions by selecting a subset of relevant variables through a stepwise selection process.This approach is particularly 
             useful for modeling spatially varying relationships and improving the accuracy of spatial predictions.

A Package for selecting variables for the joint modeling of mean and dispersion (including models for mixture experiments) based on hypothesis testing and the quality of model's fit. In each iteration of the selection process, a criterion for checking the goodness of fit is used as a filter for choosing the terms that will be evaluated by a hypothesis test. Pinto & Pereira (2021) <arXiv:2109.07978>.

Provides functions to calculate step- and cadence-based metrics from 
    timestamped accelerometer and wearable device data. Supports CSV and AGD files from 
    'ActiGraph' devices, CSV files from 'Fitbit' devices, and step counts derived   
    with R package 'GGIR' <https://github.com/wadpac/GGIR>, with automatic handling 
    of epoch lengths from 1 to 60 seconds. Metrics include total steps, cadence 
    peaks, minutes and steps in predefined cadence bands, and time and steps in 
    moderate-to-vigorous physical activity (MVPA). Methods and thresholds are 
    informed by the literature, e.g., 
    Tudor-Locke and Rowe (2012) <doi:10.2165/11599170-000000000-00000>, 
    Barreira et al. (2012) <doi:10.1249/MSS.0b013e318254f2a3>, 
    and Tudor-Locke et al. (2018) <doi:10.1136/bjsports-2017-097628>. 
    The package record is also available on Zenodo (2023) <doi:10.5281/zenodo.7858094>.