Bayesian Generalized Linear Models with Time-Varying Coefficients

---

Documentation for package ‘walker’ version 1.0.7

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

as.data.frame.walker_fit	Coerce Posterior Samples of walker Fit to a Data Frame
coef.walker_fit	Extract Coeffients of Walker Fit
fitted.walker_fit	Extract Fitted Values of Walker Fit
lfo	Leave-Future-Out Cross-Validation
plot_coefs	Posterior predictive check for walker object
plot_fit	Plot the fitted values and sample quantiles for a walker object
plot_predict	Prediction intervals for walker object
pp_check.walker_fit	Posterior predictive check for walker object
predict.walker_fit	Predictions for walker object
predict_counterfactual	Predictions for walker object
print.walker_fit	Print Summary of walker_fit Object
rw1	Construct a first-order random walk component
rw2	Construct a second-order random walk component
summary.walker_fit	Summary of walker_fit Object
walker	Bayesian regression with random walk coefficients
walker_glm	Bayesian generalized linear model with time-varying coefficients
walker_rw1	Comparison of naive and state space implementation of RW1 regression model