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