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breaks_growth() and plot(breaksgrowth) now
treat results with less than two segments (which are rare)
correctlycalculate_rollmean(infpan) and
calculate_rollsum(infpan): Check of the specified rolling
window k with respect to the number of time points in the
infpan objectNA values in observed and expected vectors in
binary_metrics()swash_backwash() or
swash(infpan)impute_missing_values optionexponential growth(): Doubling time is set to
NA if the estimated growth rate r is
non-positiveexponential_growth(), coefficients from the OLS estimation
are used as start values (as in logistic_growth())load_infections_paneldata(), is_balanced(),
and as_balanced()load_infections_paneldata() and
swash_backwash()confint(sbm)plot_coef_ci() involving
exclusively positive or exclusively negative significant estimates has
been fixedlogistic_growth(), exponential_growth(), and
breaks_growth()logistic_growth()confint(sbm)R_t()exponential growth(): R0 is set to NA (instead of 0) if
the estimated growth rate is negativemetrics(): Correcting R-squared for zero variance,
added na.rm parameter (default: TRUE)nbmatrix() function: creation of
an instance of the new nbmatrix classnbstat() function with the
nbstat() method of the nbmatrix classnbmatrixnbmatrix objectinfpan objectsinfpan object with
method plot_map()infpan objects rather than
sbm objectsplot_regions() for class sbm
is replaced by generic method plot() for
infpan objectsgrowth() and
growth_initial() for sbm objects are are now
methods for the infpan classplot_breakpoints() is replaced by
function breaks_growth() and the corresponding
plot() methodload_infections_paneldata(), which creates and instance of
the new class infpaninfpan objects
such as incidence and effective reproduction number \(R_t\)hawkes_growth() for parametrization of a
Hawkes process equation for infectionsgrowth_hawkes() for parametrization of Hawkes
process equations based on infpan objectsexponential_growth()logistic_growth() and
exponential_growth(), as well as in methods
growth(infpan) and growth_initial(infpan)metrics(), binary_metrics() and
binary_metrics_glm() now return results invisiblelogistic_growth()metrics() fixedlogistic_growth() and
exponential_growth()verbose in time-consuming calculation
functions.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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