Other packages > Find by keyword >

aster2  

Aster Models
View on CRAN: Click here


Download and install aster2 package within the R console
Install from CRAN:
install.packages("aster2")

Install from Github:
library("remotes")
install_github("cran/aster2")

Install by package version:
library("remotes")
install_version("aster2", "0.3-2")



Attach the package and use:
library("aster2")
Maintained by
Charles J. Geyer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-11-03
Latest Update: 2017-03-26
Description:
Aster models are exponential family regression models for life history analysis. They are like generalized linear models except that elements of the response vector can have different families (e. g., some Bernoulli, some Poisson, some zero-truncated Poisson, some normal) and can be dependent, the dependence indicated by a graphical structure. Discrete time survival analysis, zero-inflated Poisson regression, and generalized linear models that are exponential family (e. g., logistic regression and Poisson regression with log link) are special cases. Main use is for data in which there is survival over discrete time periods and there is additional data about what happens conditional on survival (e. g., number of offspring). Uses the exponential family canonical parameterization (aster transform of usual parameterization). Unlike the aster package, this package does dependence groups (nodes of the graph need not be conditionally independent given their predecessor node), including multinomial and two-parameter normal as families. Thus this package also generalizes mark-capture-recapture analysis.
How to cite:
Charles J. Geyer (2010). aster2: Aster Models. R package version 0.3-2, https://cran.r-project.org/web/packages/aster2. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1 (2010-11-03 08:40), 0.2-1 (2015-05-11 20:36), 0.3 (2017-03-26 23:30)
Other packages that cited aster2 R package
View aster2 citation profile
Other R packages that aster2 depends, imports, suggests or enhances
Complete documentation for aster2
Functions, R codes and Examples using the aster2 R package
Some associated functions: aster2-package . asterdata . constancy . cumulant . echinacea . families . hornworm . link . subset . test1 . transform . 
Some associated R codes: asterdata.R . constancy.R . families.R . logl.R . onAttach.R . transform.R .  Full aster2 package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA