IPMpack: an R package for integral projection models

IPMpack: an R package for integral projectionmodels

msSurv, an R Package for Nonparametric Estimation of Multistate Models

We present an R package, msSurv, to calculate the marginal (that is, not conditional on any covariates) state occupation probabilities, the state entry and exit time distributions, and the marginal integrated transition hazard for a general, possibly non-Markov, multistate system under left-truncation and right censoring. For a Markov model, msSurv also calculates and returns the transition pro...

Calibrar: an R package for fitting complex ecological models

1. The fitting or parameter estimation of complex ecological models is a challenging optimization task, with a notable lack of tools for fitting complex stochastic models. 2. calibrar is an R package that has been developed for fitting complex ecological models to data, including complex Individual Based Models. It is a generic tool that can be used for any type of model, especially those with ...

gems: An R Package for Simulating from Disease Progression Models.

Mathematical models of disease progression predict disease outcomes and are useful epidemiological tools for planners and evaluators of health interventions. The 𝖱 package gems is a tool that simulates disease progression in patients and predicts the effect of different interventions on patient outcome. Disease progression is represented by a series of events (e.g., diagnosis, treatment and dea...

FWDselect: An R Package for Variable Selection in Regression Models

In multiple regression models, when there are a large number (p) of explanatory variables which may or may not be relevant for predicting the response, it is useful to be able to reduce the model. To this end, it is necessary to determine the best subset of q (q ≤ p) predictors which will establish the model with the best prediction capacity. FWDselect package introduces a new forward stepwiseb...