2022年1月8日 · mpr: Multi-Parameter Regression (MPR) Fitting Multi-Parameter Regression (MPR) models to right-censored survival data. These are flexible parametric regression models which extend standard models, for example, proportional hazards.

The MPR approach generalises the standard SPR approach by viewing all distributional parameters as interest parameters in which covariate effects can be investigated. In the context of survival analysis (currently the focus of the mpr package), the Weibull model is

Fitting Multi-Parameter Regression (MPR) models to right-censored survival data. These are flexible parametric regression models which extend standard models, for example, …

2022年1月8日 · Fitting Multi-Parameter Regression (MPR) models to right-censored survival data. These are flexible parametric regression models which extend standard models, for example, proportional hazards. See Burke & MacKenzie (2016) <doi:10.1111/biom.12625> and Burke et al (2020) <doi:10.1111/rssc.12398>.

Multi-Parameter Regression (MPR) models are generated by allowing multiple distributional parameters to depend on covariates, for example, both the scale and shape parameters. This …

Multi-Parameter Regression (MPR) models are generated by allowing multiple distributional parameters to depend on covariates, for example, both the scale and shape parameters. This is in contrast to the more typical approach where covariates enter a model only through one distributional parameter.

2022年1月8日 · Multi-Parameter Regression (MPR) models are generated by allowing multiple distributional parameters to depend on covariates, for example, both the scale and shape parameters. This is in contrast to the more typical approach where covariates enter a model only through one distributional parameter.

mpr: Fitting a Multi-Parameter Regression (MPR) model. predict.mpr: Predict method for Multi-Parameter Regression (MPR) Fits stepmpr: Stepwise Selection Procedure for Multi-Parameter Regression...

In this section, we’ll delve into the fundamental aspects and key features of the package. The mpr package offers a unified solution for multiple parameter regression, commonly used in econometrics and statistical modeling. It allows for the modeling of relationships between a dependent variable and multiple independent variables.

Fitting a Multi-Parameter Regression (MPR) model.