Package index • multinomialTS

State-Space Model

Fit and interrogate multinomial state-space models

mnTS(): Multinomial State-Space Model (mnTS)
boot(<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

Generalized Linear Mixed Model

Fit multinomial GLMMs (typically used to initialise mnTS)

mnGLMM(): Multinomial Generalized Linear Mixed Model (mnGLMM)
summary(<mnGLMM>): GLMM summary

Generic functions

boot(): 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
story_100_bootstraps: Story 100 bootstraps
bootstrap_sensitivity: Sunfish Pond bootstrapped sensitivity
sunfish_pollen_wide: Sunfish Pond pollen
sunfish_ll: Sunfish Pond level