Provides Frequentist (EM) and Bayesian (MCMC) Methods for Inference of Birth-Death-Immigration Markov Chains.
|Author||Charles Doss, Vladimir Minin, Marc Suchard|
|Date of publication||2016-03-24 23:29:52|
|Maintainer||Charles Doss <firstname.lastname@example.org>|
|License||GPL (>= 2)|
add.generator: Generating functions for birth-death processes with...
add.joint.mean.many: Mean counts and particle time averages for birth-death...
add.uncond.mean.one: ENplus, ENminus, Eholdtime, unconditional on ending state.
ARsim: Accept-Reject Simulation
bdARsimCondEnd: Conditional Simulation of BD via Accept-Reject
BD.EMInference.prodExpecs: Functions That Calculate Product Expectations Needed for...
BDloglikelihood.PO: Calculate log likelihood of Partially Observed BD process
BDMC-class: Class "BDMC"
BDMC_many-class: Class '"BDMC_many"'
BD.MCMC.SC: MCMC on Linear Birth Death Process
BDPOloglikeGradSqr.CTMC_PO_many: Gradient-Squared of PartialData likelihood
BDsummaryStats: Get summary statistics for EM Algorithm on Linear Birth-Death...
birth.death.simulant: Simulation of birth-death processes with immigration
bracket-methods: Methods for Function '[' in Package 'DOBAD'
combineCTMC: Combine several CTMCs into one CTMC
CTMC2list: Convert Between two representations of a Continuous Time...
CTMC-class: Class "CTMC"
CTMC_PO_1-class: Class "CTMC_PO_1"
CTMCPO2indepIntervals: Converts CTMC_PO (either CTMC_PO_1 or CTMC_PO_many) to...
CTMC_PO_many-class: 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
doublebracket-methods: Methods for Function '[[' in Package 'DOBAD'
EM.BD.SC: Expectation-Maximization 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.
getBDMCsPOlist-methods: 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.
getT-methods: ~~ Methods for Function getT in Package 'DOBAD' ~~
getTs-methods: ~~ 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
plot-methods: 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 birth-death process, Conditionally upon observing...
simplify: Transform Lists to Vectors
sub-methods: Subscripting CTMCs