Regression with Multiple Change Points
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Documentation for package ‘mcp’ version 0.3.4
Help Pages
| bernoulli | Bernoulli family for mcp |
| criterion | Compute information criteria for model comparison |
| demo_fit | Example 'mcpfit' for examples |
| exponential | Exponential family for mcp |
| fitted | Expected Values from the Posterior Predictive Distribution |
| fitted.mcpfit | Expected Values from the Posterior Predictive Distribution |
| fixed.effects | Summarise mcpfit objects |
| fixef | Summarise mcpfit objects |
| fixef.mcpfit | Summarise mcpfit objects |
| hypothesis | Test hypotheses on mcp objects. |
| hypothesis.mcpfit | Test hypotheses on mcp objects. |
| ilogit | Inverse logit function |
| is.mcpfit | Checks if argument is an 'mcpfit' object |
| logit | Logit function |
| LOO | Compute information criteria for model comparison |
| loo | Compute information criteria for model comparison |
| loo.mcpfit | Compute information criteria for model comparison |
| mcp | Fit Multiple Linear Segments And Their Change Points |
| mcpfit | Class 'mcpfit' of models fitted with the 'mcp' package |
| mcpfit-class | Class 'mcpfit' of models fitted with the 'mcp' package |
| mcp_example | Get example models and data |
| negbinomial | Negative binomial for mcp |
| phi | Inverse probit function |
| plot | Plot full fits |
| plot.mcpfit | Plot full fits |
| plot_pars | Plot individual parameters |
| pp_check | Posterior Predictive Checks For Mcpfit Objects |
| pp_check.mcpfit | Posterior Predictive Checks For Mcpfit Objects |
| predict | Samples from the Posterior Predictive Distribution |
| predict.mcpfit | Samples from the Posterior Predictive Distribution |
| Summarise mcpfit objects | |
| print.mcpfit | Summarise mcpfit objects |
| print.mcplist | Print mcplist |
| print.mcptext | Nice printing texts |
| probit | Probit function |
| random.effects | Summarise mcpfit objects |
| ranef | Summarise mcpfit objects |
| ranef.mcpfit | Summarise mcpfit objects |
| resid | Compute Residuals From Mcpfit Objects |
| resid.mcpfit | Compute Residuals From Mcpfit Objects |
| residuals | Compute Residuals From Mcpfit Objects |
| residuals.mcpfit | Compute Residuals From Mcpfit Objects |
| sd_to_prec | Transform a prior from SD to precision. |
| summary | Summarise mcpfit objects |
| summary.mcpfit | Summarise mcpfit objects |
| WAIC | Compute information criteria for model comparison |
| waic | Compute information criteria for model comparison |
| waic.mcpfit | Compute information criteria for model comparison |