qra-package: qra: A package for calculations that relate to...
In jhmaindonald/qra-R-package: Quantal Response Analysis for Dose-Mortality Data
qra-package R Documentation
qra: A package for calculations that relate to dose-mortality,
or time-mortality, or other such models.
Description
The qra package provides the functions:
checkDisp, getRho, extractLT, getScaleCoef, scaleLocAdjust,
fieller, gpsWithin, varRatio, foldp, graphSum, fpower
Details
Vignettes provide examples of the use of the functions.
qra functions
fieller: Calculates lethal dose estimates, using Fieller's
formula to calculate 95
of the functions noted below are useful ancillaries to fieller
and fieller2, notably foldp, fpower, extractLT,
and getScaleCoef.
fieller2: Use when a folded power link has been used.
See fpower.
extractLT: Obtains complete set of LT or LD estimate, when it is
convenient to get results from several models at the same time.
foldp: Calculates the ratio of p+eps to 1-code+eps
getRho Extracts estimates of the intra-class
correlation from a glmmTMB model object with betabinomial error.
See the vignette [timeMortality] for details of the parametization
used for the betabinomial error.
getScaleCoef: Extracts the scale coefficients from a vector
that has been scaled using scale, as needed so that the scaling
can be undone.
gpsWithin Renumbers group identifiers so that they run from
1 to number of groups within for each level of the specified factor.
scaleLocAdjust: Returns, for glmmTMB models with a
betabinomial error, dispersion factors (i.e., multipliers for the
binomial variance) as functions of predicted values.
varRatio: Returns a first order approximation to the variance
of the $y$-ordinate to slope ratio. This is used in the
type="Delta" approximation, for calculation of LT and LD
confidence intervals. Primarily, this is provided for purposes
of comparison, to make it easy to show how poor the approximation
can be, and to warn against its general dewvuse!
Author(s)
Maintainer: John Maindonald john@statsresearch.co.nz (ORCID)
See Also
Useful links:
jhmaindonald/qra-R-package documentation built on Nov. 16, 2023, 2:39 p.m.
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| qra-package | R Documentation |
qra: A package for calculations that relate to dose-mortality, or time-mortality, or other such models.
Description
The qra package provides the functions: checkDisp, getRho, extractLT, getScaleCoef, scaleLocAdjust, fieller, gpsWithin, varRatio, foldp, graphSum, fpower
Details
Vignettes provide examples of the use of the functions.
qra functions
fieller: Calculates lethal dose estimates, using Fieller's
formula to calculate 95
of the functions noted below are useful ancillaries to fieller
and fieller2, notably foldp, fpower, extractLT,
and getScaleCoef.
fieller2: Use when a folded power link has been used.
See fpower.
extractLT: Obtains complete set of LT or LD estimate, when it is
convenient to get results from several models at the same time.
foldp: Calculates the ratio of p+eps to 1-code+eps
getRho Extracts estimates of the intra-class
correlation from a glmmTMB model object with betabinomial error.
See the vignette [timeMortality] for details of the parametization
used for the betabinomial error.
getScaleCoef: Extracts the scale coefficients from a vector
that has been scaled using scale, as needed so that the scaling
can be undone.
gpsWithin Renumbers group identifiers so that they run from
1 to number of groups within for each level of the specified factor.
scaleLocAdjust: Returns, for glmmTMB models with a
betabinomial error, dispersion factors (i.e., multipliers for the
binomial variance) as functions of predicted values.
varRatio: Returns a first order approximation to the variance
of the $y$-ordinate to slope ratio. This is used in the
type="Delta" approximation, for calculation of LT and LD
confidence intervals. Primarily, this is provided for purposes
of comparison, to make it easy to show how poor the approximation
can be, and to warn against its general dewvuse!
Author(s)
Maintainer: John Maindonald john@statsresearch.co.nz (ORCID)
See Also
Useful links:
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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