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HawaSpatial - Holistic and Areal Weighted Analysis for Global Development

A professional-grade, multi-'sectoral' platform designed for sub-national monitoring of global development indicators. Optimized for large-scale household surveys including 'DHS', 'MICS', 'MIS', 'IHBS', 'SPA', and 'LSMS', the package provides a comprehensive workflow covering Descriptive, Diagnostic, Predictive, and Prescriptive analytics. Key functionalities include a 'Spatial Equalizer' for seamless data integration, 17 Exploratory Spatial Data Analysis ('ESDA') methods, Small Area Estimation ('SAE') via 'Fay-Herriot' models, Spatial Econometrics ('SAR'/'SEM'), and 4-stage hierarchical multilevel modeling using the 'glmmTMB' engine. It enables researchers and policymakers to identify geographic 'hotspots', quantify spatial inequality ('SDG' 10), and generate publication-ready reports.

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4.00 score

AHSurv - Flexible Parametric Accelerated Hazards Models

Flexible parametric Accelerated Hazards (AH) regression models in overall and relative survival frameworks with 13 distinct Baseline Distributions. The AH Model can also be applied to lifetime data with crossed survival curves. Any user-defined parametric distribution can be fitted, given at least an R function defining the cumulative hazard and hazard rate functions. See Chen and Wang (2000) <doi:10.1080/01621459.2000.10474236>, and Lee (2015) <doi:10.1007/s10985-015-9349-5> for more details.

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1.48 score 1 dependents 270 downloads

AmoudSurv - Tractable Parametric Odds-Based Regression Models

Fits tractable fully parametric odds-based regression models for survival data, including proportional odds (PO), accelerated failure time (AFT), accelerated odds (AO), and General Odds (GO) models in overall survival frameworks. Given at least an R function specifying the survivor, hazard rate and cumulative distribution functions, any user-defined parametric distribution can be fitted. We applied and evaluated a minimum of seventeen (17) various baseline distributions that can handle different failure rate shapes for each of the four different proposed odds-based regression models. For more information see Bennet et al., (1983) <doi:10.1002/sim.4780020223>, and Muse et al., (2022) <doi:10.1016/j.aej.2022.01.033>.

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1.00 score 295 downloads