Description: 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.

Federico Rotolo [aut], Stefan Michiels [aut, cre]

Title: Utility Functions, Datasets and Extended Examples for Survival
Description: Utility functions, datasets and extended examples for survival analysis. This includes 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".

Description: 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".

Suggests: car, bshazard, rstpm2, Epi, dplyr

Depends: survival, R (>= 3.5), MASS, methods

Title: Tools for Biological Survey Planning
person("Claudia", "Nuñez-Penichet", email = "claununez199o@gmail.com",
person("Marlon E.", "Cobos", email = "manubio13@gmail.com", role = "aut",
person("Jorge", "Soberón", email = "jsoberon@ku.edu", role = "aut",
person("Tomer", "Gueta", email = "tomer.gu@gmail.com", role = "aut",
person("Narayani", "Barve", email = "narayani.ku@gmail.com", role = "aut",
person("Vijay", "Barve", email = "vijay.barve@gmail.com", role = "aut",
person("Adolfo G.", "Navarro-Sigüenza", email = "adolfon@ciencias.unam.mx",
person("A. Townsend", "Peterson", email = "town@ku.edu", role = "aut",
Description: A collection of tools that allows users to plan systems of sampling
sites, increasing the efficiency of biodiversity monitoring by considering
the relationship between environmental and geographic conditions in a
region. The options for selecting sampling sites included here differ from
other implementations in that they consider the environmental and geographic
conditions of a region to suggest sampling sites that could increase the
efficiency of efforts dedicated to monitoring biodiversity. The methods
proposed here are new in the sense that they combine various criteria and
points previously made in related literature; some of the theoretical and
methodological bases considered are described in:
Soberón and Cavner (2015) <doi:10.17161/bi.v10i0.4801>, and Soberón et al.
Imports: diptest (>= 0.75), doParallel (>= 1.0), foreach (>= 1.5),
graphics, grDevices, ks (>= 1.11), maps (>= 3.3), methods,
parallel, picante (>= 1.8), raster (>= 3.0), rgdal (>= 1.4),
Author: Claudia Nuñez-Penichet [aut, cre]
A. Townsend Peterson [aut] (<https://orcid.org/0000-0003-0243-2379>)