Provides some tools for developing and validating prediction models, estimate expected survival of patients and visualize them graphically. Most of the implemented methods are based on penalized regressions such as: the lasso (Tibshirani R (1996)), the elastic net (Zou H et al. (2005) <doi:10.1111/j.1467-9868.2005.00503.x>), the adaptive lasso (Zou H (2006) <doi:10.1198/016214506000000735>), the stability selection (Meinshausen N et al. (2010) <doi:10.1111/j.1467-9868.2010.00740.x>), some extensions of the lasso (Ternes et al. (2016) <doi:10.1002/sim.6927>), some methods for the interaction setting (Ternes N et al. (2016) <doi:10.1002/bimj.201500234>), or others. A function generating simulated survival data set is also provided.

Utility functions, datasets and extended examples for survival analysis. This extends a range of other packages, some simple wrappers for time-to-event analyses, datasets, and extensive examples in HTML with R scripts. The package also supports the course Biostatistics III entitled "Survival analysis for epidemiologists in R".

Datasets and functions for the book "Initiation à la Statistique avec R", F. Bertrand and M. Maumy-Bertrand (2022, ISBN:978-2100782826 Dunod, fourth edition).

Biostatistical and clinical data analysis, including descriptive 
    statistics, exploratory data analysis, sample size and power calculations, 
    statistical inference, and data visualization. Normality tests are 
    implemented following Mishra et al. (2019) <doi:10.4103/aca.ACA_157_18>, 
    omnibus test procedures are based on Blanca et al. (2017) 
    <doi:10.3758/s13428-017-0918-2> and Field et al. (2012, ISBN:9781446200469), 
    while sample size and power calculation methods follow Chow et al. (2017) 
    <doi:10.1201/9781315183084>.

A set of user-friendly functions designed to fill gaps in existing introductory biostatistics R tools, making it easier for newcomers to perform basic biostatistical analyses without needing advanced programming skills.
 The methods implemented in this package are based on the works:
 Connor (1987) <doi:10.2307/2531961>
 Fleiss, Levin, & Paik (2013, ISBN:978-1-118-62561-3)
 Levin & Chen (1999) <doi:10.1080/00031305.1999.10474431>
 McNemar (1947) <doi:10.1007/BF02295996>.