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 DOBAD: Analysis of Discretely Observed Linear BirthandDeath(andImmigration) Markov Chains
 getTsmethods: ~~ Methods for Function getTs in Package 'DOBAD' ~~
~~ Methods for Function getTs in Package â€˜DOBADâ€™ ~~
Description
Accessor for vector of total times for each individual markov chain in a manymarkovchain object.
Methods
signature(object = "BDMC_many")

Vector of total times for each individual markov chain in the object.
signature(object = "CTMC_many")

Same as above.
signature(object = "CTMC_PO_many")

Same as above.
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 add.generator: Generating functions for birthdeath processes with...
 add.joint.mean.many: Mean counts and particle time averages for birthdeath...
 add.uncond.mean.one: ENplus, ENminus, Eholdtime, unconditional on ending state.
 ARsim: AcceptReject Simulation
 bdARsimCondEnd: Conditional Simulation of BD via AcceptReject
 BD.EMInference.prodExpecs: Functions That Calculate Product Expectations Needed for...
 BDloglikelihood.PO: Calculate log likelihood of Partially Observed BD process
 BDMCclass: Class "BDMC"
 BDMC_manyclass: Class '"BDMC_many"'
 BD.MCMC.SC: MCMC on Linear Birth Death Process
 BDPOloglikeGradSqr.CTMC_PO_many: GradientSquared of PartialData likelihood
 BDsummaryStats: Get summary statistics for EM Algorithm on Linear BirthDeath...
 birth.death.simulant: Simulation of birthdeath processes with immigration
 bracketmethods: Methods for Function '[' in Package 'DOBAD'
 combineCTMC: Combine several CTMCs into one CTMC
 CTMC2list: Convert Between two representations of a Continuous Time...
 CTMCclass: Class "CTMC"
 CTMC_PO_1class: Class "CTMC_PO_1"
 CTMCPO2indepIntervals: Converts CTMC_PO (either CTMC_PO_1 or CTMC_PO_many) to...
 CTMC_PO_manyclass: Class "CTMC_PO_many"
 CTMC.simulate: Simulate from ("regular") CTMC
 CTMC.simulate.piecewise: Simulate from piecewise constant/homogeneous CTMC
 derivType: Helper for getting means from generating functions
 doublebracketmethods: Methods for Function '[[' in Package 'DOBAD'
 EM.BD.SC: ExpectationMaximization on Linear Birth Death (_S_pecial...
 EMutilities: Functions related to implementing the EM algorithm on...
 getBDinform: Helpers for Getting Information Matrix for MLE estimates on...
 getBDinform.PO: Get Information Matrix for MLE estimates on Partially...
 getBDjTimes: Get Jump times of a BD process.
 getBDMCsPOlistmethods: Methods for Function 'getBDMCsPOlist' in Package 'DOBAD'
 getDataSummary.CTMC_PO_many: Calculate Some Summarizing Information for the Given Data
 getInitParams: Get multiple starting parameters for EM
 getIthJumpTime: Get the jump times from a CTMC.
 getMCstate: Get the state of a CTMC at various times
 getNewParams.SC: Solve for new parameters in restricted model in EM algorithm.
 getPartialData: Get "partially Observed " Chain from a fully observed one.
 getStates: Get list of jump states.
 getSubMC: Extract a Sub Markov Chain
 getTimes: Get list of jump times.
 getTmethods: ~~ Methods for Function getT in Package 'DOBAD' ~~
 getTsmethods: ~~ Methods for Function getTs in Package 'DOBAD' ~~
 graph.CTMC: Plot CTMCs (possibly Partially Observed)
 list2CTMC: Convert a list representation of a CTMC to the class version
 Nij: Count transitions in a fully observed CTMC.
 Nplus: Calculate summary statistics for BDMCs and CTMC_POs
 num.deriv: Numerical Differentiation
 plotmethods: Plot CTMCs
 power.coef.one: Gets coefficients of a power series..
 process.prob.one: Calculate transition probability for linear birth death...
 sampleJumpTime: Functions for Simulating Conditionally the first Jump of a...
 sim.condBD: Simulate birthdeath process, Conditionally upon observing...
 simplify: Transform Lists to Vectors
 submethods: Subscripting CTMCs