Package index • mcp

Using mcp

Functions for everyday use of mcp.

mcp(): Fit Multiple Linear Segments And Their Change Points
plot(<mcpfit>) plot_dpar(): Plot full fits
plot_pars(): Plot individual parameters
pp_check(): Posterior Predictive Checks For Mcpfit Objects
summary(<mcpfit>) fixef(<mcpfit>) ranef(<mcpfit>) print(<mcpfit>): Summarise mcpfit objects
predict(<mcpfit>) fitted(<mcpfit>) log_lik(<mcpfit>) residuals(<mcpfit>): Fitted and predicted values of mcp models fits
loo(<mcpfit>) waic(<mcpfit>): Information Criteria for Model Comparison
add_loglik(): Add Log-Likelihood to an mcpfit Object.
hypothesis(): Test Hypotheses Concerning Individual Parameters
as_draws(<mcpfit>): Extract MCMC Draws from mcpfit Objects
mcp-package: mcp: Regression with Multiple Change Points

Axillary functions

These are used internally by mcp, but are exposed here since they may be useful for other purposes. Most other useful internal functions deliver the result already in mcp(segments, sample = FALSE), so mcp() will be their API.

sd_to_prec(): Transform a JAGS Prior from SD to Precision.
logit(): Logit function
ilogit(): Inverse logit function
probit(): Probit function
phi(): Inverse probit function
is.mcpfit(): Checks if the Argument is an mcpfit Object

Families

Distributional families that are not available in base R.

bernoulli(): Bernoulli Family for mcp
negbinomial(): Negative Binomial for mcp

Help and demos

Some showcases of typical mcp analyses. Most of these are discussed on the front page.

mcp_example() mcp_example_data(): Get example models and data
demo_fit: Example mcpfit

Miscellaneous

Stuff you would not usually consult directly.

mcpfit-class mcpfit: Class mcpfit of Models Fitted with the mcp Package
niterations(<mcpfit>) nchains(<mcpfit>): Index mcpfit objects
interpolate_newdata(): Returns a data.frame with all combos of predictors
mcpfamily() is.mcpfamily(): Create or Test Objects of Class "mcpfamily"
prior_summary(): Summarise priors used by an mcp model
print(<mcplist>): Print mcplist
print(<mcptext>): Nice Printing of Multiline Texts