hoa: Higher Order Likelihood Inference
In hoa: Higher Order Likelihood Inference
Description
Performs likelihood-based inference for a wide range of regression models. Provides higher-order approximations for inference based on extensions of saddlepoint type arguments as discussed in the book Applied Asymptotics: Case Studies in Small-Sample Statistics by Brazzale, Davison, and Reid (2007).
Details
Package: hoa
Version: 2.1.2
Date: 2015-07-13
Depends: R (>= 3.0.0)
Imports: graphics, statmod, stats, survival, utils
Suggests: boot, csampling
License: GPL (>= 2)
URL: http://www.r-project.org, http://statwww.epfl.ch/AA/
LazyLoad: yes
LazyData: yes
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Functions:
=========
cond Approximate Conditional Inference - Generic
Function
cond.glm Approximate Conditional Inference for Logistic
and Loglinear Models
cond.object Approximate Conditional Inference Object
family.cond Use family() on a "cond" object
family.summary.cond Use family() on a "summary.cond" object
plot.cond Generate Plots for an Approximate Conditional
Inference Object
print.summary.cond Use print() on a "summary.cond" object
summary.cond Summary Method for Objects of Class "cond"
Function
cond.rsm Approximate Conditional Inference in
Regression-Scale Models
dHuber Huber's Least Favourable Distribution
family.rsm Use family() on a "rsm" object
family.rsm.object Family Object for Regression-Scale Models
logLik.rsm Compute the Log Likelihood for
Regression-Scale Models
marg.object Approximate Marginal Inference Object
plot.fr Plot a Fraser-Reid Object
plot.marg Generate Plots for an Approximate Marginal
Inference Object
print.summary.marg Use print() on a "summary.marg" object
residuals.rsm Compute Residuals for Regression-Scale Models
rsm Fit a Regression-Scale Model
rsm.diag Diagnostics for Regression-Scale Models
rsm.diag.plots Diagnostic Plots for Regression-Scale Models
rsm.families Generate a RSM Family Object
rsm.fit Fit a Regression-Scale Model Without Computing
the Model Matrix
rsm.null Fit an Empty Regression-Scale Model
rsm.object Regression-Scale Model Object
rsm.surv Fit a Regression-Scale Model Without Computing
the Model Matrix
summary.marg Summary Method for Objects of Class "marg"
summary.rsm Summary Method for Regression-Scale Models
tem Tangent exponential model Higher Order Likelihood
Approximation
update.rsm Update and Re-fit a RSM Model Call
vcov.rsm Calculate Variance-Covariance Matrix for a
Fitted RSM Model
Dmean Differentiate the Mean Function of a Nonlinear
Model
Dvar Differentiate the Variance Function of a
Nonlinear Model
contour.all.nlreg.profiles
Contour Method for 'nlreg' Objects
expInfo Returns the Expected Information Matrix --
Generic Function
expInfo.nlreg Expected Information Matrix for 'nlreg'
Objects
logLik.nlreg Compute the Log Likelihood for Nonlinear
Heteroscedastic Models
mpl Maximum Adjusted Profile Likelihood Estimation
-- Generic Function
mpl.nlreg Maximum Adjusted Profile Likelihood Estimates
for a 'nlreg' Object
mpl.object Maximum Adjusted Profile Likelihood Object
nlreg Fit a Nonlinear Heteroscedastic Model via
Maximum Likelihood
nlreg.diag Nonlinear Heteroscedastic Model Diagnostics
nlreg.object Nonlinear Heteroscedastic Model Object
obsInfo Returns the Observed Information Matrix --
Generic Function
obsInfo.nlreg Observed Information Matrix for 'nlreg'
Objects
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.profile Use plot() on a 'profile.nlreg' and
'all.profiles.nlreg' object
profile.nlreg Profile Method for 'nlreg' Objects
summary.all.nlreg.profiles
Summary Method for Objects of Class
'all.nlreg.profiles'
summary.fr Likelihood-Based Confidence Intervals Based on
Fraser-Reid Object
summary.mpl Summary Method for 'mpl' Objects
summary.nlreg Summary Method for Nonlinear Heteroscedastic
Models
summary.nlreg.profile Summary Method for Objects of Class
'nlreg.profile'
var2cor Convert Covariance Matrix to Correlation
Matrix -- Generic Function
Datasets:
========
aids AIDS Symptoms and AZT Use Data
airway Airway Data
babies Crying Babies Data
darwin Darwin's Data on Growth Rates of Plants
dormicum Dormicum Data
fraudulent Fraudulent Automobile Insurance Claims Data
fungal Fungal Infections Treatment Data
houses House Price Data
nuclear Nuclear Power Station Data
rabbits Rabbits Data
urine Urine Data
venice Sea Level Data
C1 Herbicide Data (Chlorsulfuron)
C2 Herbicide Data (Chlorsulfuron)
C3 Herbicide Data (Chlorsulfuron)
C4 Herbicide Data (Chlorsulfuron)
M2 Herbicide Data (Metsulfuron Methyl)
M4 Herbicide Data (Metsulfuron Methyl)
chlorsulfuron Chlorsulfuron Data
daphnia 'Daphnia Magna' Data
helicopter Paper Helicopter Data
metsulfuron Metsulfuron Methyl Data
ria Radioimmunoassay Data
Further information is available in the following vignettes:
Rnews-paper hoa: An R Package for Higher Order Likelihood Inference (source, pdf)
Author(s)
R port by Alessandra R. Brazzale <alessandra.brazzale@unimore.it>, following earlier work by Douglas Bates. The function tem is based on work by Anthony Davison <Anthony.Davison@epfl.ch>
Maintainer: Alex-Antoine Fortin <alex@fortin.bio>
hoa documentation built on May 2, 2019, 8:56 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Performs likelihood-based inference for a wide range of regression models. Provides higher-order approximations for inference based on extensions of saddlepoint type arguments as discussed in the book Applied Asymptotics: Case Studies in Small-Sample Statistics by Brazzale, Davison, and Reid (2007).
Details
| Package: | hoa |
| Version: | 2.1.2 |
| Date: | 2015-07-13 |
| Depends: | R (>= 3.0.0) |
| Imports: | graphics, statmod, stats, survival, utils |
| Suggests: | boot, csampling |
| License: | GPL (>= 2) |
| URL: | http://www.r-project.org, http://statwww.epfl.ch/AA/ |
| LazyLoad: | yes |
| LazyData: | yes |
Index:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 | Functions:
=========
cond Approximate Conditional Inference - Generic
Function
cond.glm Approximate Conditional Inference for Logistic
and Loglinear Models
cond.object Approximate Conditional Inference Object
family.cond Use family() on a "cond" object
family.summary.cond Use family() on a "summary.cond" object
plot.cond Generate Plots for an Approximate Conditional
Inference Object
print.summary.cond Use print() on a "summary.cond" object
summary.cond Summary Method for Objects of Class "cond"
Function
cond.rsm Approximate Conditional Inference in
Regression-Scale Models
dHuber Huber's Least Favourable Distribution
family.rsm Use family() on a "rsm" object
family.rsm.object Family Object for Regression-Scale Models
logLik.rsm Compute the Log Likelihood for
Regression-Scale Models
marg.object Approximate Marginal Inference Object
plot.fr Plot a Fraser-Reid Object
plot.marg Generate Plots for an Approximate Marginal
Inference Object
print.summary.marg Use print() on a "summary.marg" object
residuals.rsm Compute Residuals for Regression-Scale Models
rsm Fit a Regression-Scale Model
rsm.diag Diagnostics for Regression-Scale Models
rsm.diag.plots Diagnostic Plots for Regression-Scale Models
rsm.families Generate a RSM Family Object
rsm.fit Fit a Regression-Scale Model Without Computing
the Model Matrix
rsm.null Fit an Empty Regression-Scale Model
rsm.object Regression-Scale Model Object
rsm.surv Fit a Regression-Scale Model Without Computing
the Model Matrix
summary.marg Summary Method for Objects of Class "marg"
summary.rsm Summary Method for Regression-Scale Models
tem Tangent exponential model Higher Order Likelihood
Approximation
update.rsm Update and Re-fit a RSM Model Call
vcov.rsm Calculate Variance-Covariance Matrix for a
Fitted RSM Model
Dmean Differentiate the Mean Function of a Nonlinear
Model
Dvar Differentiate the Variance Function of a
Nonlinear Model
contour.all.nlreg.profiles
Contour Method for 'nlreg' Objects
expInfo Returns the Expected Information Matrix --
Generic Function
expInfo.nlreg Expected Information Matrix for 'nlreg'
Objects
logLik.nlreg Compute the Log Likelihood for Nonlinear
Heteroscedastic Models
mpl Maximum Adjusted Profile Likelihood Estimation
-- Generic Function
mpl.nlreg Maximum Adjusted Profile Likelihood Estimates
for a 'nlreg' Object
mpl.object Maximum Adjusted Profile Likelihood Object
nlreg Fit a Nonlinear Heteroscedastic Model via
Maximum Likelihood
nlreg.diag Nonlinear Heteroscedastic Model Diagnostics
nlreg.object Nonlinear Heteroscedastic Model Object
obsInfo Returns the Observed Information Matrix --
Generic Function
obsInfo.nlreg Observed Information Matrix for 'nlreg'
Objects
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.profile Use plot() on a 'profile.nlreg' and
'all.profiles.nlreg' object
profile.nlreg Profile Method for 'nlreg' Objects
summary.all.nlreg.profiles
Summary Method for Objects of Class
'all.nlreg.profiles'
summary.fr Likelihood-Based Confidence Intervals Based on
Fraser-Reid Object
summary.mpl Summary Method for 'mpl' Objects
summary.nlreg Summary Method for Nonlinear Heteroscedastic
Models
summary.nlreg.profile Summary Method for Objects of Class
'nlreg.profile'
var2cor Convert Covariance Matrix to Correlation
Matrix -- Generic Function
Datasets:
========
aids AIDS Symptoms and AZT Use Data
airway Airway Data
babies Crying Babies Data
darwin Darwin's Data on Growth Rates of Plants
dormicum Dormicum Data
fraudulent Fraudulent Automobile Insurance Claims Data
fungal Fungal Infections Treatment Data
houses House Price Data
nuclear Nuclear Power Station Data
rabbits Rabbits Data
urine Urine Data
venice Sea Level Data
C1 Herbicide Data (Chlorsulfuron)
C2 Herbicide Data (Chlorsulfuron)
C3 Herbicide Data (Chlorsulfuron)
C4 Herbicide Data (Chlorsulfuron)
M2 Herbicide Data (Metsulfuron Methyl)
M4 Herbicide Data (Metsulfuron Methyl)
chlorsulfuron Chlorsulfuron Data
daphnia 'Daphnia Magna' Data
helicopter Paper Helicopter Data
metsulfuron Metsulfuron Methyl Data
ria Radioimmunoassay Data
|
Further information is available in the following vignettes:
Rnews-paper | hoa: An R Package for Higher Order Likelihood Inference (source, pdf) |
Author(s)
R port by Alessandra R. Brazzale <alessandra.brazzale@unimore.it>, following earlier work by Douglas Bates. The function tem is based on work by Anthony Davison <Anthony.Davison@epfl.ch>
Maintainer: Alex-Antoine Fortin <alex@fortin.bio>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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