Estimasi Kejadian Covid-19 Secara Real Time menggunakan R Programming
Abstrak
Pada artikel ini menguraikan Langkah-langkah estimasi kejadian covid-19 di Indonesia khusus wilayan Sulawesi selatan secara real time menggunakan Bahasa R.
Referensi
Bettencourt LMA, Ribeiro RM (2008) Real Time Bayesian Estimation of the Epidemic Potential of Emerging Infectious Diseases. PLoS ONE 3(5): e2185. https://doi.org/10.1371/journal.pone.0002185
Mwangi TW, Fegan G, Williams TN, Kinyanjui SM, Snow RW, Marsh K (2008) Evidence for Over-Dispersion in the Distribution of Clinical Malaria Episodes in Children. PLoS ONE 3(5): e2196. https://doi.org/10.1371/journal.pone.0002196
Haign John, (2002) Probability Models. Springer. London.
David J. Olive, (2014). Statistical Teory and Inferences. Springer. London.
Murray Logan,(2010) Biostatistical Design and Analysis Using R, John Wiley & Sons, Inc. New York.
Gergely Daróczi ,(2015)Mastering Data Analysis with R. Packt Publishing. Birmingham, UK.
Data Covid-19 Indonesia. https://prod-hub-indexer.s3.amazonaws.com/files/685be21cd0034247b5ceeac996d947fe/0/full/4326/685be21cd0034247b5ceeac996d947fe_0_full_4326.csv
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