nlreg1.2-2.2 package

Higher Order Inference for Nonlinear Heteroscedastic Models

allProfiles.nlreg

Support for function `profile.nlreg'

allProfiles

Support for function `profile.nlreg' --- Generic Function

coef.nlreg

Use coef() on a `nlreg' object

contour.all.nlreg.profiles

Contour Method for `nlreg' Objects

Dmean

Differentiate the Mean Function of a Nonlinear Model

Dvar

Differentiate the Variance Function of a Nonlinear Model

expInfo.nlreg

Expected Information Matrix for `nlreg' Objects

expInfo

Returns the Expected Information Matrix --- Generic Function

fitted.nlreg

Use fitted() on a `nlreg' object

logLik.nlreg

Compute the Log Likelihood for Nonlinear Heteroscedastic Models

mpl.nlreg

Maximum Adjusted Profile Likelihood Estimates for a `nlreg' Object

mpl.object

Maximum Adjusted Profile Likelihood Object

mpl

Maximum Adjusted Profile Likelihood Estimation --- Generic Function

nlreg-package

tools:::Rd_package_title("nlreg")

nlreg.contours.object

Contour Object for Nonlinear Heteroscedastic Models

nlreg.diag

Nonlinear Heteroscedastic Model Diagnostics

nlreg.object

Nonlinear Heteroscedastic Model Object

nlreg.profile.objects

Profile Objects for Nonlinear Heteroscedastic Models

nlreg

Fit a Nonlinear Heteroscedastic Model via Maximum Likelihood

obsInfo.nlreg

Observed Information Matrix for `nlreg' Objects

obsInfo

Returns the Observed Information Matrix --- Generic Function

param.nlreg

Use param() on a `nlreg' object

param

Extract All Parameters from a Model --- Generic Function

plot.nlreg.contours

Use plot() on a `nlreg.contours' object

plot.nlreg.diag

Diagnostic Plots for Nonlinear Heteroscedastic Models

plot.nlreg.profiles

Use plot() on a profile.nlreg' and all.profiles.nlreg' object

print.mpl

Use print() on a `mpl' object

print.nlreg.contours

Use print() on a `nlreg.contours' object

print.nlreg.profiles

Use print() on a nlreg.profile' and all.nlreg.profiles' object

print.nlreg

Use print() on a `nlreg' object

print.summary.mpl

Use print() on a `summary.mpl' object

print.summary.nlreg.profiles

Use print() on a summary.nlreg.profile' and summary.all.nlreg.profil...

print.summary.nlreg

Use print() on a `summary.nlreg' object

profile.nlreg

Profile Method for `nlreg' Objects

qStheta

Support for nlreg' package of hoa' bundle

residuals.nlreg

Use residuals() on a `nlreg' object

summary.all.nlreg.profiles

Summary Method for Objects of Class `all.nlreg.profiles'

summary.mpl

Summary Method for `mpl' Objects

summary.nlreg.profile

Summary Method for Objects of Class `nlreg.profile'

summary.nlreg

Summary Method for Nonlinear Heteroscedastic Models

var2cor.nlregmpl

Use var2cor() on a nlreg' and mpl' object

var2cor

Convert Covariance Matrix to Correlation Matrix --- Generic Function

Likelihood inference based on higher order approximations for nonlinear models with possibly non constant variance.

  • Maintainer: Alessandra R. Brazzale
  • License: GPL (>= 2) | file LICENCE
  • Last published: 2019-01-30