mcp does regression with one or Multiple Change Points (MCP) between Generalized and hierarchical Linear Segments using Bayesian inference. |
17 мар. 2024 г. · Flexible and informed regression with Multiple Change Points. 'mcp' can infer change points in means, variances, autocorrelation structure, and any combination ... |
17 мар. 2024 г. · 'mcp' can in- fer change points in means, variances, autocorrelation structure, and any combina- tion of these, as well as the parameters of the ... |
mcp computes the home range of several animals using the Minimum Convex Polygon estimator. mcp.area is used for home-range size estimation. |
The R package mcp does flexible and informed Bayesian regression with change points. mcp can infer the location of changes between regression models on ... |
mcp infers the posterior distributions of the parameters of each segment as well as the change points between segments. |
It is semi-automatic in that you can set the number of change points using parameter Q and this defaults to five. It can recover ML estimates of the intercepts. |
The R package mcp does flexible and informed Bayesian regression with change points. mcp can infer changes in means, variances, autocorrelation structure, ... |
5 янв. 2020 г. · mcp can infer the location of changes between regression models on means, variances, autocorrelation structure, and any combination of these. |
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