coarsen_jsfs function (#141).cores_per_run to boot_jaatha
which can be set to use more than one CPU core for each replica
(#128).folded_sums,
which calculates the standard JSFS coarsening from an unpolarized
spectrum (#130).testthat is not available (#132).final_sim and
zoom_in_steps to the main jaatha method
(#134).repetitions was greater than
one (#135). Thanks to Amaya Romero for reporting and locating this
bug!.verbose
argument of the jaatha function (#118).1 and repreat
the runs with the new version if so (#124).random initialization method for using random
starting positions (#104).model and data in the
pars argument of an jaatha analysis and removed the
corresponding arguments from boot_jaatha (#105).mc.preschedule
argument of parallel::mclapply is now set to
FALSE (#107).block_width argument to jaatha
(#108).create_jaatha_model.function andcreate_jaatha_model.coalmodel as functions (#109).coala.jaatha as a general method is now more
prominent.boot package for bootstrapping
calculations.Jaatha.confidenceIntevals function. There often parameters
different from the maximum likelihood estimates were used to calculate
the confidence intervals (#15).dplyr instead of plyr for converting
JSFS into data frames because it is significantly faster.glm objects.epsilon. We now stop the refined search after
the likelihood did not improve for 10 consecutive steps.weight parameter to down-weight old
simulations, because it had no measurable effect on the estimates.rerun option to initial & refined search
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