Quadratic Vector Autoregression

---

Documentation for package ‘quadVAR’ version 0.1.2

• DESCRIPTION file.
• Package NEWS.

Help Pages

block_cv	Use Block Cross-Validation to Evaluate Models
coef.quadVAR	Estimate lag-1 quadratic vector autoregression models
coef.true_model_4_emo	True model for 4-emotion model
compare_4_emo	Compare estimated model with true model for 4-emotion model
find_index	Find index of data that satisfies certain conditions
get_adj_mat	Extract the adjacency matrix from a quadVAR object.
linear_quadVAR_network	Linearize a quadVAR object to produce a network.
partial_plot	Make a partial plot of a variable in a model This function takes a quadVAR model as input, and returns a plot of the partial effect of a variable on the dependent variable (controlling all other variables and the intercept), for higher and lower levels of the moderator variable split by the median.
plot.linear_quadVAR_network	Linearize a quadVAR object to produce a network.
plot.quadVAR	Estimate lag-1 quadratic vector autoregression models
predict.quadVAR	Predict the values of the dependent variables using the quadVAR model
print.coef_quadVAR	Estimate lag-1 quadratic vector autoregression models
print.quadVAR	Estimate lag-1 quadratic vector autoregression models
print.true_model_4_emo	True model for 4-emotion model
quadVAR	Estimate lag-1 quadratic vector autoregression models
quadVAR_to_dyn_eqns	Transform a quadVAR object to a list of dynamic equations.
sim_4_emo	Simulate a 4-emotion model
summary.quadVAR	Estimate lag-1 quadratic vector autoregression models
true_model_4_emo	True model for 4-emotion model
tune.fit	Using the *glmnet* and *ncvreg* packages, fits a Generalized Linear Model or Cox Proportional Hazards Model using various methods for choosing the regularization parameter lambda