Package index • multinomialTS

State-Space Model

Fit and interrogate multinomial state-space models

mnTS(): Multinomial State-Space Model (mnTS)
bootstrap(<mnTS>): Bootstrap method for mnTS objects
coef(<mnTS>): Coefficients for Multinomial State-Space Model
simulate(<mnTS>): Simulate Data from a Multinomial State-Space Model
summary(<mnTS>): Summary Method for Multinomial State-Space Models
print(<mnTS>): Print Method for Multinomial State-Space Models

Generalized Linear Mixed Model

Fit multinomial GLMMs (typically used to initialise mnTS)

mnGLMM(): Multinomial Generalized Linear Mixed Model (mnGLMM)
summary(<mnGLMM>): GLMM summary
print(<mnGLMM>): Print Method for Multinomial GLMMs

Generic functions

bootstrap(): Multinomial state-space bootstrap

Datasets

Example datasets bundled with the package

story_pollen_wide: Story Pollen Wide
story_pollen_matrix: Story Pollen Matrix
story_char_wide: Story Charcoal Wide
story_char_matrix: Story Charcoal Matrix
sunfish_pollen_wide: Sunfish Pond pollen
sunfish_ll: Sunfish Pond level

Deprecated

Retained for backwards compatibility; will be removed in a future release

boot(): Bootstrap a model (deprecated)