State-dependent speciation and extinction (SSE) models provide a framework for testing potential correlations between the evolution of an observed trait and speciation and extinction rates. Recent expansions of these models allow for the inclusion of “hidden states” that, among other things, allow for rate heterogeneity often observed among lineages sharing a particular character state. However, in reality, multiple circumstances and interacting traits related to a focal character play a role in changing diversification dynamics of a lineage over time, restricting the use of available SSE models that require trait information to be assigned at the tips.Here we introduce MiSSE, an SSE approach that infers diversification rate differences from hidden states only. It can be used similarly to other trait-free methods to estimate varying speciation, extinction, but also different functions of these parameters such as net-diversification, turnover rates, and extinction fraction. Given the size of the model space, we also describe an algorithm designed for efficiently searching through a reasonably large set of models without having to be exhaustive.We compare the accuracy of rates inferred at the tips of the tree by MiSSE against popular character-free methods and demonstrate that the error associated with tip estimates is generally low. Due to certain characteristics of the SSE models, this method avoids some of the recent concerns with parameter identifiability in diversification analyses and can be used alongside regular phylogenetic comparative methods in trait-related diversification hypotheses.Finally, we apply MiSSE, with a renewed focus on classic comparative methods, to understand processes happening near the present, rather than deep in the past, to examine how variation in plant height has impacted turnover rates in eucalypts, a species-rich lineage of flowering plants.