Man pages for mcp
Regression with Multiple Change Points
| bernoulli | Bernoulli family for mcp |
| check_terms_in_data | Checks if all terms are in the data |
| criterion | Compute information criteria for model comparison |
| cumpaste | Cumulative pasting of character columns |
| demo_fit | Example 'mcpfit' for examples |
| exponential | Exponential family for mcp |
| fitted.mcpfit | Expected Values from the Posterior Predictive Distribution |
| format_code | Format code with one or multiple terms |
| geom_cp_density | Density geom for 'plot.mcpfit()' |
| geom_quantiles | Return a geom_line representing the quantiles |
| get_all_formulas | Call 'get_formula_str' for multiple ytypes and paste strings |
| get_ar_code | Gets code for ARMA terms, resulting in a "resid_" |
| get_arma_order | Extracts the order from ARMA parameter name(s) |
| get_density | Compute the density at a specific point. |
| get_eval_at | Get a list of x-coordinates to evaluate fit$simulate at |
| get_formula_str | Build an R formula (as string) given a segment table (ST) |
| get_jagscode | Make JAGS code for Multiple Change Point model |
| get_jags_data | Adds helper variables for use in 'run_jags' |
| get_ppc_plot | pp_check for loo statistics |
| get_prior | Get priors for all parameters in a segment table. |
| get_prior_str | Get JAGS code for a prior |
| get_quantiles | Expand samples with quantiles |
| get_segment_table | Build a table describing a list of segments |
| get_simulate | Turn formula_str into a proper R function |
| get_summary | Internal function for summary.mcpfit, fixef.mcpfit, and... |
| get_term_content | Get formula inside a wrapper |
| hypothesis | Test hypotheses on mcp objects. |
| ilogit | Inverse logit function |
| is.mcpfit | Checks if argument is an 'mcpfit' object |
| logit | Logit function |
| mcmclist_samples | Internal function to get samples. |
| mcp | Fit Multiple Linear Segments And Their Change Points |
| mcp_example | Get example models and data |
| mcpfamily | Add A family object to store link functions between R and... |
| mcpfit-class | Class 'mcpfit' of models fitted with the 'mcp' package |
| mcp-package | Regression with Multiple Change Points |
| negbinomial | Negative binomial for mcp |
| phi | Inverse probit function |
| plot.mcpfit | Plot full fits |
| plot_pars | Plot individual parameters |
| pp_check | Posterior Predictive Checks For Mcpfit Objects |
| pp_eval | Fits and predictions from samples and newdata |
| predict.mcpfit | Samples from the Posterior Predictive Distribution |
| print.mcplist | Print mcplist |
| print.mcptext | Nice printing texts |
| probit | Probit function |
| recover_levels | Recover the levels of varying effects in mcmc.list |
| remove_terms | Remove varying or population terms from a formula |
| residuals.mcpfit | Compute Residuals From Mcpfit Objects |
| run_jags | Run parallel MCMC sampling using JAGS. |
| sd_to_prec | Transform a prior from SD to precision. |
| summary.mcpfit | Summarise mcpfit objects |
| tidy_samples | Get tidy samples with or without varying effects |
| tidy_to_matrix | Convert from tidy to matrix |
| to_formula | Takes any formula-like input and returns a formula |
| unpack_arma | Unpack arma order and formula |
| unpack_cp | Takes a cp formula (as a string) and returns its properties |
| unpack_int | Get the intercept of a formula |
| unpack_rhs | Unpack right-hand side |
| unpack_slope | Unpack the slope of a formula |
| unpack_slope_term | Unpacks a single term |
| unpack_tildes | Takes a formula and returns a string representation of y, cp,... |
| unpack_varying | Get relevant info about varying parameters |
| unpack_varying_term | Unpack varying effects |
| unpack_y | Unpacks y variable name |
| with_loo | Add loo if not already present |
