abc | Approximate Bayesian computation |
accumulators | accumulators |
as_data_frame | Coerce to data frame |
as_pomp | as.pomp |
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 |
concat | Concatenate |
cond_logLik | Conditional log likelihood |
continue | Continue an iterative calculation |
covariate_table | Covariates |
covmat | Estimate a covariance matrix from algorithm traces |
csnippet | C snippets |
dacca | Model of cholera transmission for historic Bengal. |
deprecated | Deprecated functions |
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 |
eff_sample_size | Effective sample size |
filter_mean | Filtering mean |
filter_traj | Filtering trajectories |
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 |
listie | listie |
load | Loading and unloading shared-object libraries |
loglik | Log likelihood |
logmeanexp | The log-mean-exp trick |
lookup | Lookup table |
measles | Historical childhood disease incidence data |
mif2 | Iterated filtering: maximum likelihood by iterated, perturbed... |
nlf | Nonlinear forecasting |
objfun | Objective functions |
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 |
pomp2-package | Inference for partially observed Markov processes |
pomp_class | The basic pomp class |
pomp_fun | The "pomp_fun" class |
pred_mean | Prediction mean |
pred_var | Prediction variance |
Print methods | |
prior_spec | prior specification |
probe | Probes (AKA summary statistics) |
probe_match | Probe matching |
proposals | MCMC proposal distributions |
pStop | pStop |
reexports | Objects exported from other packages |
resample | Resample |
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 |
rw2 | Two-dimensional random-walk process |
rw_sd | rw.sd |
sannbox | Simulated annealing with box constraints. |
show | Show methods |
simulate | Simulations of a partially-observed Markov process |
sir | 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 | Summary methods |
time | Methods to manipulate the obseration times |
timezero | The zero time |
traces | Traces |
trajectory | Trajectory of a deterministic model |
traj_match | Trajectory matching |
transformations | Transformations |
undefined | Undefined |
userdata | Facilities for making additional information to basic... |
verhulst | Verhulst-Pearl model |
window | Window |
workhorses | Workhorse functions for the 'pomp' algorithms. |
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