Statistical inference for partially observed Markov processes


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Documentation for package ‘pomp’ version 0.22-6

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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
nlf Fit Model to Data Using Nonlinear Forecasting (NLF)
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
trajectory Compute trajectories of the determinstic skeleton.
trajectory,pomp-method Compute trajectories of the determinstic skeleton.
trajectory-pomp Compute trajectories of the determinstic skeleton.