A series of functions which aid in both simulating and determining the properties of finite, discrete-time, discrete state markov chains.  Two functions (DTMC, MultDTMC) produce n iterations of a Markov Chain(s)  based on transition probabilities and an initial distribution.  The function FPTime determines the first passage time into each state.  The function statdistr determines the stationary distribution of a Markov Chain.

Compute the dynamic threshold panel model suggested by (Stephanie Kremer, Alexander Bick and Dieter Nautz (2013) <doi:10.1007/s00181-012-0553-9>) in which they extended the (Hansen (1999) <doi: 10.1016/S0304-4076(99)00025-1>) original static panel threshold estimation and the Caner and (Hansen (2004) <doi:10.1017/S0266466604205011>) cross-sectional instrumental variable threshold model, where generalized methods of moments type estimators are used.

Provides the dose transition pathways (DTP) to project in advance
    the doses recommended by a model-based design for subsequent patients (stay,
    escalate, deescalate or stop early) using all the accumulated toxicity
    information; See Yap et al (2017) <doi: 10.1158/1078-0432.CCR-17-0582>. DTP
    can be used as a design and an operational tool and can be displayed as a
    table or flow diagram. The 'dtpcrm' package also provides the modified
    continual reassessment method (CRM) and time-to-event CRM (TITE-CRM) with
    added practical considerations to allow stopping early when there is
    sufficient evidence that the lowest dose is too toxic and/or there is a
    sufficient number of patients dosed at the maximum tolerated dose.

Provides a data.table backend for 'dplyr'. The goal of
    'dtplyr' is to allow you to write 'dplyr' code that is automatically
    translated to the equivalent, but usually much faster, data.table
    code.

Track and
    document 'dplyr' data pipelines. As you filter, mutate, and join your
    way through a data set, 'dtrackr' seamlessly keeps track of your data
    flow and makes publication ready documentation of a data pipeline simple.