Csnippet                C snippets
abc                     Approximate Bayesian computation
accumvars               accumulator variables
basic_components        Basic POMP model components.
basic_probes            Useful probes for partially-observed Markov
                        processes
betabinomial            Beta-binomial distribution
blowflies               Nicholson's blowflies.
bsflu                   Influenza outbreak in a boarding school
bsmc2                   The Liu and West Bayesian particle filter
bsplines                B-spline bases
childhood_disease_data
                        Historical childhood disease incidence data
coef                    Extract, set, or alter coefficients
compartmental_models    Compartmental epidemiological models
concat                  Concatenate
cond_logLik             Conditional log likelihood
continue                Continue an iterative calculation
covariates              Covariates
covmat                  Estimate a covariance matrix from algorithm
                        traces
dacca                   Model of cholera transmission for historic
                        Bengal.
design                  Design matrices for pomp calculations
dinit                   dinit workhorse
dinit_spec              dinit specification
dmeasure                dmeasure workhorse
dmeasure_spec           dmeasure specification
dprior                  dprior workhorse
dprocess                dprocess workhorse
dprocess_spec           dprocess specification
ebola                   Ebola outbreak, West Africa, 2014-2016
eff_sample_size         Effective sample size
elementary_algorithms   Elementary computations on POMP models.
emeasure                emeasure workhorse
emeasure_spec           emeasure specification
estimation_algorithms   Parameter estimation algorithms for POMP
                        models.
eulermultinom           Eulermultinomial and Gamma-whitenoise
                        distributions
filter_mean             Filtering mean
filter_traj             Filtering trajectories
flow                    flow workhorse
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
kalmanFilter            Kalman filter
logLik                  Log likelihood
logmeanexp              The log-mean-exp trick
lookup                  Lookup table
mcap                    Monte Carlo adjusted profile
melt                    Melt
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 workhorse
parus                   Parus major population dynamics
pfilter                 Particle filter
plot                    pomp plotting facilities
pmcmc                   The particle Markov chain Metropolis-Hastings
                        algorithm
pomp-package            Inference for partially observed Markov
                        processes
pomp_constructor        Constructor of the basic pomp object
pomp_examples           pre-built pomp examples
pred_mean               Prediction mean
pred_var                Prediction variance
prior_spec              prior specification
probe                   Probes (AKA summary statistics)
probe_match             Probe matching
proposals               MCMC proposal distributions
reproducibility_tools   Tools for reproducible computations
ricker                  Ricker model with Poisson observations.
rinit                   rinit workhorse
rinit_spec              rinit specification
rmeasure                rmeasure workhorse
rmeasure_spec           rmeasure specification
rprior                  rprior workhorse
rprocess                rprocess workhorse
rprocess_spec           rprocess specification
rw2                     Two-dimensional random-walk process
rw_sd                   rw_sd
sannbox                 Simulated annealing with box constraints.
saved_states            Saved states
simulate                Simulations of a partially-observed Markov
                        process
skeleton                skeleton workhorse
skeleton_spec           skeleton specification
spect                   Power spectrum
spect_match             Spectrum matching
spy                     Spy
states                  Latent states
summary                 Summary methods
time                    Methods to extract and 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
                        available to basic model components
verhulst                Verhulst-Pearl model
vmeasure                vmeasure workhorse
vmeasure_spec           vmeasure specification
window                  Window
workhorses              Workhorse functions for the 'pomp' algorithms.
wpfilter                Weighted particle filter
wquant                  Weighted quantile function
