npregfast - Nonparametric Estimation of Regression Models with Factor-by-Curve Interactions

A method for obtaining nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines. Additionally, a parametric model (allometric model) can be estimated.

Last updated 2 months ago

allometricbarnaclecritical-pointscurve-interactionsfactor-by-curvefortraninteractionnonparametricregression-modelstesting

5.55 score 5 stars 3 packages 79 scripts 315 downloads

condSURV - Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data

Method to implement some newly developed methods for the estimation of the conditional survival function. See Meira-Machado, Sestelo and Goncalves (2016) <doi:10.1002/bimj.201500038>.

Last updated 2 years ago

4.20 score 1 stars 1 packages 106 scripts 477 downloads

survidm - Inference and Prediction in an Illness-Death Model

Newly developed methods for the estimation of several probabilities in an illness-death model. The package can be used to obtain nonparametric and semiparametric estimates for: transition probabilities, occupation probabilities, cumulative incidence function and the sojourn time distributions. Additionally, it is possible to fit proportional hazards regression models in each transition of the Illness-Death Model. Several auxiliary functions are also provided which can be used for marginal estimation of the survival functions.

Last updated 3 years ago

2.95 score 1 stars 18 scripts 181 downloads

FWDselect - Selecting Variables in Regression Models

A simple method to select the best model or best subset of variables using different types of data (binary, Gaussian or Poisson) and applying it in different contexts (parametric or non-parametric).

Last updated 9 years ago

feature-engineeringfeature-selectionmachine-learning-algorithmsnonparametricregresssionvariable-importancevariable-selection

2.78 score 2 stars 30 scripts 179 downloads