Package: gnlm 1.1.1

gnlm: Generalized Nonlinear Regression Models

A variety of functions to fit linear and nonlinear regression with a large selection of distributions.

Authors:Bruce Swihart [cre, aut], Jim Lindsey [aut]

# Install 'gnlm' in R:

install.packages('gnlm', repos = c('https://swihart.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Last updated 6 years agofrom:710e6cc9a5. Checks:OK: 3 NOTE: 6. Indexed: yes.

Dependencies:rmutil

Help page	Topics
Binomial Nonlinear Regression Models	bnlr
Fit Probability Distributions to Frequency Data	fit.dist
Generalized Nonlinear Regression Models with Two or Three Point Mixtures	fmr
Generalized Nonlinear Regression Models for One and Two Parameter Distributions	gnlr
Generalized Nonlinear Regression Models for Three Parameter Distributions	gnlr3
Nonlinear Normal, Gamma, and Inverse Gaussian Regression Models	nlr
Nonlinear Ordinal Regression Models	nordr
Generalized Linear Ordinal Regression Models	ordglm
Two-factor Box-Tidwell Nonlinear Response Surface Models	rs2
Three-factor Box-Tidwell Nonlinear Response Surface Models	rs3