pomp-package |
Partially-observed Markov processes |
bspline.basis |
B-spline bases |
coef,mif-method |
Methods of the "mif" class |
coef-mif |
Methods of the "mif" class |
coef<-,mif-method |
Methods of the "mif" class |
coef<--mif |
Methods of the "mif" class |
coerce,pomp,data.frame-method |
Partially-observed Markov process |
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 |
Partially-observed Markov process |
data.array,pomp-method |
Partially-observed Markov process |
data.array-pomp |
Partially-observed Markov process |
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 |
filter.mean |
Methods of the "mif" class |
filter.mean,mif-method |
Methods of the "mif" class |
filter.mean-mif |
Methods of the "mif" class |
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 |
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,pomp-method |
Partially-observed Markov process |
plot-pomp |
Partially-observed Markov process |
pomp |
Partially-observed Markov process object. |
pomp-class |
Partially-observed Markov process |
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 |
Partially-observed Markov process |
print-pomp |
Partially-observed Markov process |
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 |
Partially-observed Markov process |
show-pomp |
Partially-observed Markov process |
simulate,mif-method |
Simulating a fitted "mif" object |
simulate,pomp-method |
Running simulations of a partially-observed Markov process |
simulate-mif |
Simulating a fitted "mif" object |
simulate-pomp |
Running simulations of a partially-observed Markov process |
time,pomp-method |
Partially-observed Markov process |
time-pomp |
Partially-observed Markov process |