Package: nlreg 1.2-2.2

nlreg: Higher Order Inference for Nonlinear Heteroscedastic Models

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

Authors:S original by Alessandra R. Brazzale <[email protected]> and Ruggero Bellio <[email protected]>. R port by Alessandra R. Brazzale <[email protected]>, following earlier work by Douglas Bates.

nlreg_1.2-2.2.tar.gz
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nlreg_1.2-2.2.tgz(r-4.4-any)nlreg_1.2-2.2.tgz(r-4.3-any)
nlreg_1.2-2.2.tar.gz(r-4.5-noble)nlreg_1.2-2.2.tar.gz(r-4.4-noble)
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nlreg.pdf |nlreg.html✨
nlreg/json (API)

# Install 'nlreg' in R:
install.packages('nlreg', repos = c('https://arbrazzale.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • C1 - Six Herbicide Data Sets
  • C2 - Six Herbicide Data Sets
  • C3 - Six Herbicide Data Sets
  • C4 - Six Herbicide Data Sets
  • M2 - Six Herbicide Data Sets
  • M4 - Six Herbicide Data Sets
  • chlorsulfuron - Chlorsulfuron Data
  • daphnia - 'Daphnia Magna' Data
  • helicopter - Helicopter Data
  • metsulfuron - Metsulfuron Methyl Data
  • ria - Radioimmunoassay Data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

47 exports 0.00 score 4 dependencies 47 scripts 189 downloads

Last updated 6 years agofrom:4c8d7769cf. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winNOTESep 10 2024
R-4.5-linuxNOTESep 10 2024
R-4.4-winNOTESep 10 2024
R-4.4-macNOTESep 10 2024
R-4.3-winNOTESep 10 2024
R-4.3-macNOTESep 10 2024

Exports:allProfilesallProfiles.nlregcoef.nlregcontour.all.nlreg.profilesDmeanDvarexpInfoexpInfo.nlregfitted.nlreglogLik.nlregmplmpl.nlregnlregnlreg.diagnlreg.diag.plotsobsInfoobsInfo.nlregparamparam.nlregplot.all.nlreg.profilesplot.nlreg.contoursplot.nlreg.diagplot.nlreg.profileprint.all.nlreg.profilesprint.mplprint.nlregprint.nlreg.contoursprint.nlreg.profileprint.summary.all.nlreg.profilesprint.summary.mplprint.summary.nlregprint.summary.nlreg.profileprofile.nlregqhat.nlregresid.nlregresiduals.nlregShat.nlregsummary.all.nlreg.profilessummary.mplsummary.nlregsummary.nlreg.profiletheta.derivvar2corvar2cor.mplvar2cor.nlregvar2cor.summary.mplvar2cor.summary.nlreg

Dependencies:latticeMatrixstatmodsurvival

Readme and manuals

Help Manual

Help pageTopics
Higher Order Inference for Nonlinear Heteroscedastic Modelsnlreg-package
Six Herbicide Data SetsC1 C2 C3 C4 M2 M4
Chlorsulfuron Datachlorsulfuron
Contour Method for `nlreg' Objectscontour.all.nlreg.profiles
`Daphnia Magna' Datadaphnia
Differentiate the Mean Function of a Nonlinear ModelDmean
Differentiate the Variance Function of a Nonlinear ModelDvar
Returns the Expected Information Matrix - Generic FunctionexpInfo
Expected Information Matrix for `nlreg' ObjectsexpInfo.nlreg
Helicopter Datahelicopter
Compute the Log Likelihood for Nonlinear Heteroscedastic ModelslogLik.nlreg
Metsulfuron Methyl Datametsulfuron
Maximum Adjusted Profile Likelihood Estimation - Generic Functionmpl
Maximum Adjusted Profile Likelihood Estimates for a `nlreg' Objectmpl.nlreg
Maximum Adjusted Profile Likelihood Objectmpl.object
Fit a Nonlinear Heteroscedastic Model via Maximum Likelihoodnlreg
Nonlinear Heteroscedastic Model Diagnosticsnlreg.diag
Nonlinear Heteroscedastic Model Objectnlreg.object
Returns the Observed Information Matrix - Generic FunctionobsInfo
Observed Information Matrix for `nlreg' ObjectsobsInfo.nlreg
Extract All Parameters from a Model - Generic Functionparam
Use plot() on a `nlreg.contours' objectplot.nlreg.contours
Diagnostic Plots for Nonlinear Heteroscedastic Modelsnlreg.diag.plots plot.nlreg.diag
Use plot() on a `profile.nlreg' and `all.profiles.nlreg' objectplot.all.nlreg.profiles plot.nlreg.profile
Profile Method for `nlreg' Objectsprofile.nlreg
Radioimmunoassay Dataria
Summary Method for Objects of Class `all.nlreg.profiles'summary.all.nlreg.profiles
Summary Method for `mpl' Objectssummary.mpl
Summary Method for Nonlinear Heteroscedastic Modelssummary.nlreg
Summary Method for Objects of Class `nlreg.profile'summary.nlreg.profile
Convert Covariance Matrix to Correlation Matrix - Generic Functionvar2cor