dynr-package | Dynamic Modeling in R |
$-method | The dynrCook Class |
$-method | The dynrModel Class |
$-method | The dynrRecipe Class |
$<--method | The dynrModel Class |
autoplot.dynrCook | The ggplot of the smoothed state estimates and the most likely regimes |
autoplot.dynrTaste | The ggplot of the outliers estimates. |
coef.dynrCook | Extract fitted parameters from a dynrCook Object |
coef.dynrModel | Extract fitted parameters from a dynrCook Object |
coef<- | Extract fitted parameters from a dynrCook Object |
coef<-.dynrModel | Extract fitted parameters from a dynrCook Object |
confint.dynrCook | Confidence Intervals for Model Parameters |
deviance.dynrCook | Extract the log likelihood from a dynrCook Object |
diag | Create a diagonal matrix from a character vector |
diag-method | Create a diagonal matrix from a character vector |
diag.character | Create a diagonal matrix from a character vector |
dynr | Dynamic Modeling in R |
dynr.cook | Cook a dynr model to estimate its free parameters |
dynr.data | Create a list of data for parameter estimation (cooking dynr) using 'dynr.cook' |
dynr.ggplot | The ggplot of the smoothed state estimates and the most likely regimes |
dynr.ldl | LDL Decomposition for Matrices |
dynr.mi | Multiple Imputation of dynrModel objects |
dynr.model | Create a dynrModel object for parameter estimation (cooking dynr) using 'dynr.cook' |
dynr.plotFreq | Plot of the estimated frequencies of the regimes across all individuals and time points based on their smoothed regime probabilities |
dynr.taste | Detect outliers in state space models. |
dynr.taste2 | Re-fit state-space model using the estimated outliers. |
dynr.version | Current Version String |
dynrCook-class | The dynrCook Class |
dynrDebug-class | The dynrCook Class |
dynrDynamics-class | The dynrDynamics Class |
dynrDynamicsFormula-class | The dynrDynamics Class |
dynrDynamicsMatrix-class | The dynrDynamics Class |
dynrInitial-class | The dynrInitial Class |
dynrMeasurement-class | The dynrMeasurement Class |
dynrModel-class | The dynrModel Class |
dynrNoise-class | The dynrNoise Class |
dynrRecipe-class | The dynrRecipe Class |
dynrRegimes-class | The dynrRegimes Class |
dynrTrans-class | The dynrTrans Class |
EMG | Single-subject time series of facial electromyography data |
EMGsim | Simulated single-subject time series to capture features of facial electromyography data |
internalModelPrep | Do internal model preparation for dynr |
LogisticSetPointSDE | Simulated time series data for a stochastic linear damped oscillator model with logistic time-varying setpoints |
logLik.dynrCook | Extract the log likelihood from a dynrCook Object |
names-method | Extract the free parameter names of a dynrCook object |
names-method | Extract the free parameter names of a dynrModel object |
nobs.dynrCook | Extract the number of observations for a dynrCook object |
nobs.dynrModel | Extract the number of observations for a dynrModel object |
NonlinearDFAsim | Simulated multi-subject time series based on a dynamic factor analysis model with nonlinear relations at the latent level |
Oscillator | Simulated time series data of a damped linear oscillator |
Outliers | Simulated time series data for detecting outliers. |
PFAsim | Simulated time series data of a multisubject process factor analysis |
plot.dynrCook | Plot method for dynrCook objects |
plotFormula | Plot the formula from a model |
PPsim | Simulated time series data for multiple eco-systems based on a predator-and-prey model |
prep.formulaDynamics | Recipe function for specifying dynamic functions using formulas |
prep.initial | Recipe function for preparing the initial conditions for the model. |
prep.loadings | Recipe function to quickly create factor loadings |
prep.matrixDynamics | Recipe function for creating Linear Dynamcis using matrices |
prep.measurement | Prepare the measurement recipe |
prep.noise | Recipe function for specifying the measurement error and process noise covariance structures |
prep.regimes | Recipe function for creating regime switching (Markov transition) functions |
prep.tfun | Create a dynrTrans object to handle the transformations and inverse transformations of model paramters |
print-method | The dynrCook Class |
print-method | The dynrModel Class |
print-method | The dynrRecipe Class |
printex | The printex Method |
printex-method | The printex Method |
RSPPsim | Simulated time series data for multiple eco-systems based on a regime-switching predator-and-prey model |
show-method | The dynrCook Class |
show-method | The dynrModel Class |
show-method | The dynrRecipe Class |
summary.dynrCook | Get the summary of a dynrCook object |
vcov.dynrCook | Extract the Variance-Covariance Matrix of a dynrCook object |