Csnippet                C snippets
abc                     Approximate Bayesian computation
accumulators            accumulators
as.data.frame           Coerce to data frame
bake                    Bake, stew, and freeze
basic_probes            Useful probes for partially-observed Markov
                        processes
blowflies               Nicholson's blowflies.
bsflu                   Influenza outbreak in a boarding school
bsmc2                   The Liu and West Bayesian particle filter
bsplines                B-spline bases
coef                    Extract, set, or alter coefficients
cond.logLik             Conditional log likelihood
continue                Continue an iterative calculation
covariate_table         Covariates
covmat                  Estimate a covariance matrix from algorithm
                        traces
dacca                   Model of cholera transmission for historic
                        Bengal.
design                  Design matrices for pomp calculations
distributions           Probability distributions
dmeasure                dmeasure
dmeasure_spec           The measurement model density
dprior                  dprior
dprocess                dprocess
dprocess_spec           The latent state process density
ebola                   Ebola outbreak, West Africa, 2014-2016
eff.sample.size         Effective sample size
filter.mean             Filtering mean
filter.traj             Filtering trajectories
flow                    Flow of a deterministic model
forecast                Forecast mean
gompertz                Gompertz model with log-normal observations.
hitch                   Hitching C snippets and R functions to pomp_fun
                        objects
kalman                  Ensemble Kalman filters
logLik                  Log likelihood
logmeanexp              The log-mean-exp trick
measles                 Historical childhood disease incidence data
mif2                    Iterated filtering: maximum likelihood by
                        iterated, perturbed Bayes maps
nlf                     Nonlinear forecasting
obs                     obs
ou2                     Two-dimensional discrete-time
                        Ornstein-Uhlenbeck process
parameter_trans         Parameter transformations
parmat                  Create a matrix of parameters
partrans                partrans
parus                   Parus major population dynamics
pfilter                 Particle filter
plot                    Plotting
pmcmc                   The particle Markov chain Metropolis-Hastings
                        algorithm
pomp                    Constructor of the basic pomp object
pomp-package            Inference for partially observed Markov
                        processes
pomp_examples           pomp examples
pred.mean               Prediction mean
pred.var                Prediction variance
print                   Print methods
prior_spec              prior specification
probe                   Probes (AKA summary statistics)
probe.match             Probe matching
proposals               MCMC proposal distributions
ricker                  Ricker model with Poisson observations.
rinit                   rinit
rinit_spec              The initial-state distribution
rmeasure                rmeasure
rmeasure_spec           The measurement-model simulator
rprior                  rprior
rprocess                rprocess
rprocess_spec           The latent state process simulator
rw.sd                   rw.sd
rw2                     Two-dimensional random-walk process
sannbox                 Simulated annealing with box constraints.
simulate                Simulations of a partially-observed Markov
                        process
sir_models              Compartmental epidemiological models
skeleton                skeleton
skeleton_spec           The deterministic skeleton of a model
spect                   Power spectrum
spect.match             Spectrum matching
spy                     Spy
states                  Latent states
summary-probed_pomp     Summary methods
time                    Methods to manipulate the obseration times
timezero                The zero time
traces                  Traces
traj.match              Trajectory matching
trajectory              Trajectory of a deterministic model
transformations         Transformations
userdata                Facilities for making additional information to
                        basic components
verhulst                Verhulst-Pearl model
window                  Window
workhorses              Workhorse functions for the 'pomp' algorithms.
