time: Methods to extract and manipulate the obseration times

In kingaa/pomp: Statistical Inference for Partially Observed Markov Processes

Methods to extract and manipulate the obseration times

Description

Get and set the vector of observation times.

Usage

## S4 method for signature 'pomp'
time(x, t0 = FALSE, ...)

## S4 replacement method for signature 'pomp'
time(object, t0 = FALSE, ...) <- value

## S4 method for signature 'listie'
time(x, t0 = FALSE, ...)

Arguments

x	a ‘pomp’ object
t0	logical; should the zero time be included?
...	ignored or passed to the more primitive function
object	a ‘pomp’ object
value	numeric vector; the new vector of times

Details

time(object) returns the vector of observation times. time(object,t0=TRUE) returns the vector of observation times with the zero-time t0 prepended.

time(object) <- value replaces the observation times slot (times) of object with value. time(object,t0=TRUE) <- value has the same effect, but the first element in value is taken to be the initial time. The second and subsequent elements of value are taken to be the observation times. Those data and states (if they exist) corresponding to the new times are retained.

See Also

Other extraction methods: coef(), cond_logLik(), covmat(), eff_sample_size(), filter_mean(), filter_traj(), forecast(), logLik, obs(), pred_mean(), pred_var(), saved_states(), spy(), states(), summary(), timezero(), traces()

kingaa/pomp documentation built on April 24, 2024, 11:25 a.m.