Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
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Updated
Jun 11, 2024 - R
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
Current repository depicts R usability for time series modeling. Number of scripts represents preprocessing time series, modeling AR, MA, ARIMA with seasonality, ARCH, GARCH, VAR, VECM including statistical testing process and robust check.
remotePARTS is a set of tools for running Partitioned spatio-temporal auto regression analyses on remotely-sensed data sets.
Faster, better, smarter ecological niche modeling and species distribution modeling
R codes for Impact of Sampling Rate in Connectivity Analysis (Human Brain Mapping)
Ordinary least square (OLS) regression analysis carried out in this project. The selected dependent variables are some public health indicators like anxiety, diabetes. We tried to find the independent variables which are responsible for this health hazard.
Corrly For Manufacturing Process
This is a final project for a Time Series course. My professor told me I could further work on it.
The influence of time scale on autocorrelation as an early warning indicator of regime shift
Gaussian Process Inference
Studies and homework of the Time Series course at FGV EMAp.
Time series analysis on NYC births data.
Svidzinska, D. (2019). The Application of Directional Univariate Structure Functions Analysis for Studying the Spatial Anisotropy of Environmental Variables. Ekológia (Bratislava), 38(2), 140–153. https://doi.org/10.2478/eko-2019-0011
MATH-342 Time Series course taken at EPFL during Spring 17-18.
Time Series Analysis
Spatial Statistical analyses created using R and RStudio for an "Advanced Statistics for Urban Applications" at Temple University
Case studies for testing the risk of overfitting and the need for variable selection in spatial (-temporal) predictive modelling
R package for testing network dependence
Automatic transcription of piano music in R
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