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tyee001

VGAM:Vector Generalized Linear and Additive Models

An implementation of about 6 major classes of statistical regression models. The central algorithm is Fisher scoring and iterative reweighted least squares. At the heart of this package are the vector generalized linear and additive model (VGLM/VGAM) classes. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs that use smoothing. The book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and the package. Currently only fixed-effects models are implemented. Many (100+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE. The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, doubly constrained RR-VGLMs, quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Hauck-Donner effect detection is implemented. Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.

Maintained by Thomas Yee. Last updated 2 months ago.

fortran

10 stars 10.67 score 3.6k scripts 169 dependents

poissonconsulting

mcmcr:Manipulate MCMC Samples

Functions and classes to store, manipulate and summarise Monte Carlo Markov Chain (MCMC) samples. For more information see Brooks et al. (2011) <isbn:978-1-4200-7941-8>.

Maintained by Joe Thorley. Last updated 2 months ago.

codamcmc

17 stars 7.66 score 111 scripts 10 dependents

poissonconsulting

nlist:Lists of Numeric Atomic Objects

Create and manipulate numeric list ('nlist') objects. An 'nlist' is an S3 list of uniquely named numeric objects. An numeric object is an integer or double vector, matrix or array. An 'nlists' object is a S3 class list of 'nlist' objects with the same names, dimensionalities and typeofs. Numeric list objects are of interest because they are the raw data inputs for analytic engines such as 'JAGS', 'STAN' and 'TMB'. Numeric lists objects, which are useful for storing multiple realizations of of simulated data sets, can be converted to coda::mcmc and coda::mcmc.list objects.

Maintained by Joe Thorley. Last updated 3 months ago.

data-framenatomicnlistnlists

6 stars 7.23 score 13 scripts 12 dependents

flr

FLa4a:A Simple and Robust Statistical Catch at Age Model

A simple and robust statistical Catch at Age model that is specifically designed for stocks with intermediate levels of data quantity and quality.

Maintained by Ernesto Jardim. Last updated 12 days ago.

12 stars 6.71 score 177 scripts 2 dependents

poissonconsulting

universals:S3 Generics for Bayesian Analyses

Provides S3 generic methods and some default implementations for Bayesian analyses that generate Markov Chain Monte Carlo (MCMC) samples. The purpose of 'universals' is to reduce package dependencies and conflicts. The 'nlist' package implements many of the methods for its 'nlist' class.

Maintained by Joe Thorley. Last updated 3 months ago.

genericsmodel-fittings3

4 stars 6.37 score 1 scripts 20 dependents

poissonconsulting

bboutools:Boreal Caribou Survival, Recruitment and Population Growth

Estimates annual survival, recruitment and population growth for boreal caribou populations using Bayesian and Maximum Likelihood models with fixed and random effects.

Maintained by Seb Dalgarno. Last updated 2 months ago.

1 stars 5.11 score 13 scripts 2 dependents

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