Nothing
This release contains various spelling fixes for CRAN maintenance.
sample_posterior_R()
samples values of R from the posterior distribution of
an estimate_R
object (#70, @acori)NEWS.md
file to track changes to the package. (#74, @zkamvar)EstimateR
becomes estimate_R
,
OverallInfectivity
becomes oberall_infectivity
, WT
becomes
wallinga_teunis
, and DiscrSI
becomes discr_si
. Names of arguments to
these functions have also changed to snake_case. Note that compatibility
functions have been added so that the old functions as written in EpiEstim
1.1-0 should still work but throw a warning pointing to the newest functions. incidence
package: in the function estimate_R
, the
first argument, i.e. the incidence from which the reproduction number is
calculated, can now be, either a vector of case counts (as in version 1.1-0) or
an incidence
object (see R package incidence
).estimate_R
, the first
argument, i.e. the incidence from which the reproduction number can now
provide information about known imported cases: by specifying the first
argument as either a dataframe with columns "local" and "imported", or an
incidence
object with two groups (local and imported, see R package
incidence
). This new feature is described in Thompson et al. Epidemics 2019
(currently in review).estimate_R
: in addition to
non_parametric_si
, parametric_si
and uncertain_si
, which were already
available in EpiEstim 1.1-0, two new methods have been added: si_from_data
or
si_from_sample
. These allow feeding function estimate_R
data on observed
serial intervals (method si_from_data
) or posterior samples of serial
interval distributions obtained from such data (method si_from_sample
). These
new features are described in Thompson et al. Epidemics 2019 (currently in
review).estimate_R
: estimate_R now generates on
object of class estimate_R
, which can be plotted separately by using the
new estimate_R_plots
function, which also now allows to plot several R
estimates on a single plot. config
for estimate_R
function: this is meant to minimise
the number of arguments to function estimate_R
; so arguments method
,
t_start
, t_end
, n1
, n2
, mean_si
, std_si
, std_mean_si
,
min_mean_si
, max_mean_si
, std_std_si
, min_std_si
, max_std_si
,
si_distr
, mean_prior
, std_prior
, and cv_posterior
are now specified as
a group under this new config
argument. Such a config
argument must be of
class estimate_R_config
and can be obtained as a results of the new
make_config
function. make_config
, which defines settings for function estimate_R
,
and sets defaults where arguments are missing. In particular, if argument
incid
is not NULL
, by default config$t_start
and config$t_end
will be
set so that, when the configuration is used inside estimate_R
function, the
reproduction number is estimated by default on sliding weekly windows (in
EpiEstim 1.1-0 there was no default for the time window of estimation of R).flu_2009_NYC_school
mers_2014_15
, MockRotavirus
stats
(to use the gamma distribution; it was already used in EpiEstim 1.1-0
but making the dependency explicit)coarseDataTools
, fitdistrplus
, coda
(used for the new methods
si_from_data
and si_from_sample
in estimate_R
function to estimate the
serial interval from data). incidence
(so that estimate_R
can take an incidence
object as first
argument)graphics
, reshape2
, ggplot2
, gridExtra
, scales
, grDevices
(to
make new plots of outputs of estimate_R
and wallinga_teunis
functions)Any scripts or data that you put into this service are public.
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