  We present a new analytical method to identify potential missed planets in
multiplanet systems found via transit surveys such as those conducted by Kepler
and TESS. Our method depends on quantifying a system's dynamical packing in
terms of the dynamical spacing $\Delta$, the number of mutual Hill radii
between adjacent planets ("planet pair"). The method determines if a planet
pair within a multi-planet system is dynamically unpacked and thus capable of
hosting an additional intermediate planet. If a planet pair is found to be
unpacked, our method constrains the potential planet's mass and location. We
apply our method to the Kepler primary mission's population of 691
multi-candidate systems, first via direct calculations and then via Monte Carlo
(MC) analysis. The analysis was repeated with three proposed values from the
literature for minimum $\Delta$ required for planet pair orbital stability
($\Delta = 10$, $12.3$, and $21.7$). Direct calculations show that as many as
$560$ planet pairs in $691$ Kepler multi-candidate systems could contain
additional planets ($\Delta = 12.3$). The MC analysis shows that $164$ of these
pairs have a probability $\geq 0.90$ of being unpacked. Furthermore, according
to calculated median mass efficiencies calculated from packed Kepler systems,
$28.2\%$ of these potential planets could be Earths and Sub-Earths. If these
planets exist, the masses and semimajor axes predicted here could facilitate
detection by characterizing expected detection signals. Ultimately,
understanding the dynamical packing of multi-planet systems could help
contribute to our understanding of their architectures and formation.
