  Planetary architectures remain unexplored for the vast majority of
exoplanetary systems, even among the closest ones, with potentially hundreds of
planets still ``hidden" from our knowledge. DYNAMITE is a powerful software
package that can predict the presence and properties of these yet undiscovered
planets. We have significantly expanded the integrative capabilities of
DYNAMITE, which now allows for (i) planets of unknown inclinations alongside
planets of known inclinations, (ii) population statistics and model
distributions for the eccentricity of planetary orbits, and (iii) three
different dynamical stability criteria. We demonstrate the new capabilities
with a study of the HD 219134 exoplanet system consisting of four confirmed
planets and two likely candidates, where five of the likely planets are
Neptune-size or below with orbital periods less than 100 days. By integrating
the known data for the HD 219134 planetary system with contextual and
statistical exoplanet population information, we tested different system
architecture hypotheses to determine their likely dynamical stability. Our
results provide support for the planet candidates, and we predict at least two
additional planets in this system. We also deploy DYNAMITE on analogs of the
inner Solar System by excluding Venus or Earth from the input parameters to
test DYNAMITE's predictive power. Our analysis finds the system remains stable
while also recovering the excluded planets, demonstrating the increasing
capability of DYNAMITE to accurately and precisely model the parameters of
additional planets in multi-planet systems.
