abc | Estimation by approximate Bayesian computation (ABC) |
basic-probes | Some useful probes for partially-observed Markov processes |
blowflies | Model for Nicholson's blowflies. |
bsmc | The Liu and West Bayesian particle filter |
bsplines | B-spline bases |
builder | Write, compile, and build a pomp object using native codes |
csnippet | C code snippets for accelerating computations |
dacca | Model of cholera transmission for historic Bengal. |
design | Design matrices for pomp calculations |
eulermultinom | The Euler-multinomial distributions and Gamma white-noise... |
example | Examples of the construction of POMP models |
gompertz | Gompertz model with log-normal observations. |
logmeanexp | The log-mean-exp trick |
lowlevel | pomp low-level interface |
measles | Historical childhood disease incidence data |
mif | Maximum likelihood by iterated filtering |
mif2 | IF2: Maximum likelihood by iterated, perturbed Bayes maps |
nlf | Parameter estimation my maximum simulated quasi-likelihood... |
ou2 | Two-dimensional discrete-time Ornstein-Uhlenbeck process |
package | Inference for partially observed Markov processes |
parmat | Create a matrix of parameters |
particles-mif | Generate particles from the user-specified distribution. |
pfilter | Particle filter |
plugins | Plug-ins for state-process models |
pmcmc | The particle Markov chain Metropolis-Hastings algorithm |
pomp | Constructor of the basic POMP object |
pomp-fun | Definition and methods of the "pomp.fun" class |
pomp-methods | Functions for manipulating, displaying, and extracting... |
probe | Probe a partially-observed Markov process by computing... |
proposals | MCMC proposal distributions |
ricker | Ricker model with Poisson observations. |
rw2 | Two-dimensional random-walk process |
sannbox | Simulated annealing with box constraints. |
simulate-pomp | Simulations of a partially-observed Markov process |
sir | Compartmental epidemiological models |
spect | Power spectrum computation and spectrum-matching for... |
traj-match | Parameter estimation by fitting the trajectory of a model's... |
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