fitode-class: Class "fitode". Result of ode fitting based on Maximum...

In parksw3/fitode: Tools for Ordinary Differential Equations Model Fitting

Class "fitode". Result of ode fitting based on Maximum Likelihood Estimation

Description

Class "fitode". Result of ode fitting based on Maximum Likelihood Estimation

Slots

call

(languge) The call to fitode

model

odemodel object

data

the time series data

coef

estimated parameters

vcov

estimated variance-covariance matrix

min

minimum negative log-likelihood

mle2

mle2 object

link

list of link functions for model parameters

fixed

list of fixed parameters

prior

list of priors

Methods

coef

signature(object = "fitode"): Extract coefficients.

confint

signature(object = "fitode"): Caculate confidence intervals from the delta method, profile likelihood, or importance sampling.

logLik

signature(object = "fitode"): Extract log-likelihood.

plot

signature(object = "fitode"): Plot estimated trajectories and the associated confidence intervals.

predict

signature(object = "fitode"): Predict estimated trajectories and the associated confidence intervals from the delta method or importance sampling.

profile

signature(object = "fitode"): Calculate likelihood profile.

show

signature(object = "fitode"): Display object briefly.

stdEr

signature(object = "fitode"): Calculate standard errors.

summary

signature(object = "fitode"): Generate object summary.

vcov

signature(object = "fitode"): Extract variance-covariance matrix.

See Also

mle2-class

parksw3/fitode documentation built on April 3, 2024, 7:45 a.m.