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()
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