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| pomp-package | Partially-observed Markov processes |
| as,pomp-method | Methods of the "pomp" class |
| bspline.basis | B-spline bases |
| coef,pomp-method | Methods of the "pomp" class |
| coef-pomp | Methods of the "pomp" class |
| coef<-,pomp-method | Methods of the "pomp" class |
| coef<--pomp | Methods of the "pomp" class |
| coerce,pomp,data.frame-method | Methods of the "pomp" class |
| compare.mif | Methods of the "mif" class |
| continue | The MIF algorithm |
| continue,mif-method | The MIF algorithm |
| continue-mif | The MIF algorithm |
| conv.rec | Methods of the "mif" class |
| conv.rec,mif-method | Methods of the "mif" class |
| conv.rec-mif | Methods of the "mif" class |
| data.array | Methods of the "pomp" class |
| data.array,pomp-method | Methods of the "pomp" class |
| data.array-pomp | Methods of the "pomp" class |
| deulermultinom | Euler-multinomial models |
| dmeasure | Evaluate the probability density of observations given underlying states in a partially-observed Markov process |
| dmeasure,pomp-method | Evaluate the probability density of observations given underlying states in a partially-observed Markov process |
| dmeasure-pomp | Evaluate the probability density of observations given underlying states in a partially-observed Markov process |
| dprocess | Evaluate the probability density of state transitions in a Markov process |
| dprocess,pomp-method | Evaluate the probability density of state transitions in a Markov process |
| dprocess-pomp | Evaluate the probability density of state transitions in a Markov process |
| euler | Dynamical models based on stochastic Euler algorithms |
| eulermultinom | Euler-multinomial models |
| filter.mean | Methods of the "mif" class |
| filter.mean,mif-method | Methods of the "mif" class |
| filter.mean-mif | Methods of the "mif" class |
| init.state | Return a matrix of initial conditions given a vector of parameters and an initial time. |
| init.state,pomp-method | Return a matrix of initial conditions given a vector of parameters and an initial time. |
| init.state-pomp | Return a matrix of initial conditions given a vector of parameters and an initial time. |
| logLik,mif-method | Methods of the "mif" class |
| logLik-mif | Methods of the "mif" class |
| mif | The MIF algorithm |
| mif,mif-method | The MIF algorithm |
| mif,pomp-method | The MIF algorithm |
| mif-class | The "mif" class |
| mif-methods | Methods of the "mif" class |
| mif-mif | The MIF algorithm |
| mif-pomp | The MIF algorithm |
| ou2 | Two-dimensional Ornstein-Uhlenbeck process |
| particles | Generate particles from the user-specified distribution. |
| particles,mif-method | Generate particles from the user-specified distribution. |
| particles-mif | Generate particles from the user-specified distribution. |
| periodic.bspline.basis | B-spline bases |
| pfilter | Particle filter |
| pfilter,mif-method | Particle filter |
| pfilter,pomp-method | Particle filter |
| pfilter-mif | Particle filter |
| pfilter-pomp | Particle filter |
| plot,mif-method | Methods of the "mif" class |
| plot,pomp-method | Methods of the "pomp" class |
| plot-mif | Methods of the "mif" class |
| plot-pomp | Methods of the "pomp" class |
| pomp | Partially-observed Markov process object. |
| pomp-class | Partially-observed Markov process |
| pomp-methods | Methods of the "pomp" class |
| pred.mean | Methods of the "mif" class |
| pred.mean,mif-method | Methods of the "mif" class |
| pred.mean-mif | Methods of the "mif" class |
| pred.var | Methods of the "mif" class |
| pred.var,mif-method | Methods of the "mif" class |
| pred.var-mif | Methods of the "mif" class |
| print,pomp-method | Methods of the "pomp" class |
| print-pomp | Methods of the "pomp" class |
| reulermultinom | Euler-multinomial models |
| rmeasure | Simulate the measurement model of a partially-observed Markov process |
| rmeasure,pomp-method | Simulate the measurement model of a partially-observed Markov process |
| rmeasure-pomp | Simulate the measurement model of a partially-observed Markov process |
| rprocess | Simulate the process model of a partially-observed Markov process |
| rprocess,pomp-method | Simulate the process model of a partially-observed Markov process |
| rprocess-pomp | Simulate the process model of a partially-observed Markov process |
| show,pomp-method | Methods of the "pomp" class |
| show-pomp | Methods of the "pomp" class |
| simulate,pomp-method | Running simulations of a partially-observed Markov process |
| simulate-pomp | Running simulations of a partially-observed Markov process |
| skeleton | Evaluate the deterministic skeleton at the given points in state space. |
| skeleton,pomp-method | Evaluate the deterministic skeleton at the given points in state space. |
| skeleton-pomp | Evaluate the deterministic skeleton at the given points in state space. |
| sobol | Sobol' low-discrepancy sequence |
| states | Methods of the "pomp" class |
| states,pomp-method | Methods of the "pomp" class |
| states-pomp | Methods of the "pomp" class |
| time,pomp-method | Methods of the "pomp" class |
| time-pomp | Methods of the "pomp" class |