emperical_incubation_dist() will estimate the empirical incubation distribution if given a data frame with dates of onset and a range of exposure dates (@ffinger, #13)fit_gamma_incubation_dist() wraps empirical_incubation_dist() and fit_disc_gamma() to fit a discretized gamma distribution to the empirical incubation distribution results (@ffinger, #13).clean_labels() gains the protect argument to protect meaningful symbols in the data.hash_names() now has the hashfun option that allows users to specify either a “fast” or “secure” hashing function to use (@zkamvar, #21).clean_labels() can now handle non-latin characters and gains the trans_id argument, which allows the user to customise the transformations (see https://github.com/reconhub/epitrix/issues/19 for details).digest with sodium in Importssodium::scrypt() as a more cryptographically secure hashing algorithm for hash_names(). Thanks to @dirkschumacher for this addition. For details, see https://github.com/reconhub/epitrix/pull/7.clean_labels which can be used to standardise labels in variables, removing non-ascii characters, standardising separators, and more; now used in hash_names
added salting algorithm to hash_names (issue 1)
fixed bug happening when using tibble inputs in hash_names (issue 2)
fit_disc_gamma now also returns the fitted discretised gamma distribution as a distcrete objectFirst release of the package! This includes the following features:
fit_disc_gamma: fit discretised gamma distribution
gamma_log_likelihood: compute gamma log likelihood
gamma_mucv2shapescale/gamma_shapescale2mucv: convert between different parametrisation of gamma distributions.
hash_names: generate hashed (‘anonymised’) labels from individual data.
r2R0: compute R0 from r
lm2R0_sample: genrate samples of R0 from a log-linear regression