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sim_SDE()
and
multi_init_simulation()
for simulating stochastic
differential equations (SDEs) and multiple initial conditions,
respectively.as.mcmc.list()
method for lists of simulation
outputs. The added simulation functions also have the option to return
the output as an mcmc
or mcmc.list
object, so
that they can be used with coda
functions.weight_var
to specify the variable that contains the weight
of each sample point. This may be useful if user applies importance
sampling.Umax
from the documentation of
make_kernel_dist()
(an internal function).make_*d_single()
alias.print()
, summary()
and
plot()
methods for several classes.get_geom()
with a method of the
autolayer()
generic function from ggplot2
.
get_geom()
is now deprecated.get_barrier_height()
with a method of the
summary()
generic function.
get_barrier_height()
is now deprecated.hash_big.matrix
class to
hash_big_matrix
for consistent use of dots; renamed related
functions accordingly.coda::cumuplot()
as a possible option for
check_conv()
.barrier_batch
objects, renamed the column
b
to barrier
to avoid possible conflicts.README
.vg
in
make_barrier_grid_2d()
and
make_barrier_grid_3d()
was changed to ag
and
the class of this parameter was changed from var_grid
(deprecated) to arg_grid
.var
and par
in batch simulation
functions to arg
(argument) and ele
(element).sim_fun_nongrad()
; renamed sim_fun_test2()
to
sim_fun_grad()
.plot_ly
based plots;
used theme_bw()
throughout all ggplot2
based
plots.sim_fun_test2
function for testing....
for batch_simulation()
.calculate_barrier_2d()
and
calculate_barrier_2d_batch()
.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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