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is_scalar which is an issue in
package jtinormalize now returns 1 if applied to a
numericdiv(x,y) with x
being a scalar. The result was the same as div(y,x).numerics can now be marginalized. The result is the
numeric itself.as_sparta.data.frame does no longer convert to an array
first (expensive) and is therfore much more efficient now.marg is now more efficient when y is
character(0)sparta_unity_struct can now be sliced if
drop TRUE=.slicemult and div is now faster when one of the
tables is a subtale of the other. This is especially useful in
connection with Bayesian networks and the Junction Tree Algorithm.sum, normalize, get_vals and vals now
works as expected on sparta_unity classsparta_rank and
table_sizeas_array now works for sparta_unitydrop is TRUE in
slice for tables that should reduce to one row.sparsity: determines the ratio of non-zero cells and
the size of the statespace.as_df: convert a sparse table to a
data.frame. Either with or without zero cellsget_values: The same as the existing
valsunity tables now have a rank attribute which is just the unique value that all cells have. Because of this, a unity table can now be multiplied with a scalar. And regular sparta tables can be multiplied with unities of different rank. As a consequence, unities can now be marginalized also.
New function equiv to test if two sparta objects are
identical
Fixed a bug when assigning dimnames to the result of multiplication
marg, slice, mult and
div has been fixed. These functions were prone to errors
when the number of variables exceed 10.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.
Health stats visible at Monitor.