# Bayesian Analysis of Dynamic Generalized Linear Models

## Documentation for package ‘kDGLM’ version 1.2.14

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

## Help Pages

AR | Structural blocks for auto regressive trends and regressions
block_mult | Auxiliary function to replicate blocks
block_rename | block_rename
block_superpos | Auxiliary function for block superposition
CAR_prior | CAR prior
chickenPox | Hospital admissions by chicken pox in Brazil
coef.fitted_dlm | coef.fitted_dlm
cornWheat | Corn and wheat prices from 1986 to 2014
ffs | Structural blocks for free-form seasonal trends and regressions
ffs_block | Structural blocks for free-form seasonal trends and regressions
fit_model | Fitting kDGLM models
fit_model_single | Fitting one kDGLM models
forecast.fitted_dlm | Auxiliary function for forecasting
Gamma | Gamma outcome for kDGLM models
gastroBR | Hospital admissions from gastroenteritis in Brazil
har | Structural blocks for seasonal trends and regressions
harmonic_block | Structural blocks for seasonal trends and regressions
intervention | An auxiliary function for model intervention
joint_prior | Joint prior
kdglm | Fitting kDGLM models
Multinom | Multinom outcome for kDGLM models
noise | noise_block
noise_block | noise_block
Normal | Normal outcome for kDGLM models
noticeSARI | SARI data from Belo Horizonte
plot.dlm_coef | Visualizing latent states in a fitted kDGLM model
plot.fitted_dlm | Visualizing a fitted kDGLM model
Poisson | Poisson outcome for kDGLM models
pol | Structural blocks for polynomial trends and regressions
polynomial_block | Structural blocks for polynomial trends and regressions
reg | Structural blocks for regressions
regression_block | Structural blocks for regressions
simulate.fitted_dlm | Draw samples from the distribution of the latent states
smoothing | Auxiliary function for model smoothing
specify.dlm_block | Specify method for dlm blocks
summary.fitted_dlm | Summary for a fitted kDGLM model
TF | Structural blocks for auto regressive trends and regressions
TF_block | Structural blocks for auto regressive trends and regressions
update.fitted_dlm | update.fitted_dlm
zero_sum_prior | Zero sum prior