Dynamic Modeling in R

[Up] [Top]

Documentation for package ‘dynr’ version 0.1.7

Help Pages

dynr-package Dynamic Modeling in R
$-method The dynrModel Class
$-method The dynrRecipe Class
$<--method The dynrModel Class
coef.dynrCook Extract fitted parameters 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.model Create a dynrModel object for parameter estimation (cooking dynr) using 'dynr.cook'
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
dynrOutall-class The dynrCook Class
dynrRecipe-class The dynrRecipe Class
dynrRegimes-class The dynrRegimes Class
dynrTrans-class The dynrTrans Class
EMGsim Simulated single-subject time series to capture features of facial electromyography data
internalModelPrep Do internal model preparation for dynr
logLik.dynrCook Extract the log likelihood from a dynrCook Object
NonlinearDFAsim Simulated multi-subject time series based on a dynamic factor analysis model with nonlinear relations at the latent level
plot-method 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
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
summary-method Get the summary of a dynrCook object
vcov.dynrCook Extract the Variance-Covariance Matrix of a dynrCook object