Simulate Survival Data (simsurv)
Simulate survival times from standard parametric survival distributions (exponential, Weibull, Gompertz), 2-component mixture distributions, or a user-defined hazard or log hazard function. Baseline covariates can be included under a proportional hazards assumption. Time dependent effects (i.e. non-proportional hazards) can be included by interacting covariates with linear time or some transformation of time. The 2-component mixture distributions can allow for a variety of flexible baseline hazard functions. If the user wishes to provide a user-defined hazard or log hazard function then this is also possible, and the resulting cumulative hazard function does not need to have a closed-form solution. Note that this package is modelled on the ‘survsim’ package available in the ‘Stata’ software (see Crowther and Lambert (2012) <http://…/sjpdf.html?articlenum=st0275> or Crowther and Lambert (2013) <doi:10.1002/sim.5823>).

Calculation of the OPTICS Cordillera (cordillera)
Functions for calculating the OPTICS Cordillera. The OPTICS Cordillera measures the amount of ‘clusteredness’ in a numeric data matrix within a distance-density based framework for a given minimum number of points comprising a cluster, as described in Rusch, Hornik, Mair (2017) <doi:10.1080/10618600.2017.1349664>. There is an R native version and a version that uses ‘ELKI’, with methods for printing, summarizing, and plotting the result. There also is an interface to the reference implementation of OPTICS in ‘ELKI’.

Adjust Longitudinal Regression Models Using Bayesian Methodology (bayeslongitudinal)
Adjusts longitudinal regression models using Bayesian methodology for covariance structures of composite symmetry (SC), autoregressive ones of order 1 AR (1) and autoregressive moving average of order (1,1) ARMA (1,1).

Classification using LS-PLS for Logistic Regression (lsplsGlm)
Fit logistic regression models using LS-PLS approaches to analyse both clinical and genomic data. (C. Bazzoli and S. Lambert-Lacroix. (2017) Classification using LS-PLS with logistic regression based on both clinical and gene expression variables <https://…/hal-01405101> ).

MNREAD Parameters Estimation (mnreadR)
Allows to analyze MNREAD data. The MNREAD Acuity Charts are continuous text reading acuity charts for normal and low vision. Provides the necessary functions to estimate automatically the four MNREAD parameters: Maximum Reading Speed, Critical Print Size, Reading Acuity and Reading Accessibility Index (Calabrese et al (2016) <doi:10.1001/jamaophthalmol.2015.6097>).