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| epitrix Resource1 #707877 A collection of small functions useful for epidemics analysis and infectious disease modelling. This includes computation of basic reproduction numbers from growth rates, generation of hashed labels to anonymize data, and fitting discretized Gamma distributions. [2] | |
+Citaten (2) - CitatenVoeg citaat toeList by: CiterankMapLink[2] epitrix
Citerend uit: Thibaut Jombart, Anne Cori, Zhian N. Kamvar, Dirk Schumacher, Flavio Finger, Charlie Whittaker
Publication date: 13 January 2023
Geciteerd door: David Price 11:27 PM 30 January 2023 GMT
URL: | | Fragment- The main features of the package include:
• gamma_shapescale2mucv: convert shape and scale of a Gamma distribution to mean and CV
• gamma_mucv2shapescale: convert mean and CV of a Gamma distribution to shape and scale
• gamma_log_likelihood: Gamma log-likelihood using mean and CV
• r2R0: convert growth rate into a reproduction number
• lm2R0_sample: generates a distribution of R0 from a log-incidence linear model
• fit_disc_gamma: fits a discretised Gamma distribution to data (typically useful for describing delays)
• clean_labels: generate portable labels by removing non-standard characters or replacing them with their closest alphanumeric matches, standardising separators, etc.
• hash_names: generate unique, anonymised, reproducible labels from various data fields (e.g. First name, Last name, Date of birth).
• emperical_incubation_dist() will estimate the empirical incubation distribution if given a data frame with dates of onset and a range of exposure dates.
• fit_gamma_incubation_dist() wraps empirical_incubation_dist() and fit_disc_gamma() to fit a discretized gamma distribution to an empirical incubation distribution |
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