Generalized Nonlinear Models
Specify Multiple Instances of a Nonlinear Term in a gnm Model Formula
Specify the Reciprocal of a Predictor in a gnm Model Formula
Analysis of Deviance for Generalized Nonlinear Models
Coerce Linear Model to gnm Object
Check Whether One or More Parameter Combinations in a gnm Model are Id...
Compute Confidence Intervals of Parameters in a Generalized Nonlinear ...
Specify a Constant in a "nonlin" Function Predictor
Equality of Two or More Factors
Specify a Diagonal Reference Term in a gnm Model Formula
Print Exit Information for gnm Fit
Specify the Exponential of a Predictor in a gnm Model Formula
Expand Data Frame by Re-expressing Categorical Data as Counts
Estimated Contrasts and Standard Errors for Parameters in a gnm Model
Defunct Functions in gnm Package
Generalized Nonlinear Models
Fitting Generalized Nonlinear Models
Average Residuals within Factor Levels
Local Design Matrix for a Generalized Nonlinear Model
Moore-Penrose Pseudoinverse of a Real-valued Matrix
Specify a Product of Predictors in a gnm Model Formula
Specify a Multiplicative Interaction with Homogeneous Effects in a gnm...
Functions to Specify Nonlinear Terms in gnm Models
Coefficients of Interest in a Generalized Nonlinear Model
Extract Constrained and Estimated Parameters from a gnm Object
Get Indices or Values of Selected Model Coefficients
Plot Diagnostics for a gnm Object
Predict Method for Generalized Nonlinear Models
Profile Deviance for Parameters in a Generalized Nonlinear Model
Multiplicative Approximation of Model Residuals
Standard Errors of Linear Parameter Combinations in gnm Models
Extract Standard Errors
Summarize Generalized Nonlinear Model Fits
Symmetric Interaction of Factors
Extract Term Contributions to Predictor
Topological Interaction of Factors
Variance-covariance Matrix for Parameters in a Generalized Nonlinear M...
Wedderburn Quasi-likelihood Family
Functions to specify and fit generalized nonlinear models, including models with multiplicative interaction terms such as the UNIDIFF model from sociology and the AMMI model from crop science, and many others. Over-parameterized representations of models are used throughout; functions are provided for inference on estimable parameter combinations, as well as standard methods for diagnostics etc.