write.jags.ECxExp.mod: write.jags.ECxExp.mod
In AIMS/NEC-estimation: A Bayesian No Effect Concentration (NEC) package. R package version 1. doi:10.5281/ZENODO.3966864
Description
Usage
Arguments
Value
View source: R/Write_jags_ECxExpMod.R
Description
Writes an exponential decay two parameter model (top, beta) and generates a function for initial values to pass to jags
Usage
1
write.jags.ECxExp.mod(x = "gamma", y, mod.dat)
Arguments
x
the statistical distribution to use for the x (concentration) data. This may currently be one of 'beta', 'gaussian', or 'gamma'. Others can be added as required, please contact the package maintainer.
y
the statistical distribution to use for the y (response) data. This may currently be one of 'binomial', 'beta', 'poisson', 'gaussian', or 'gamma'. Others can be added as required, please contact the package maintainer.
mod.dat
the model data to use
Value
an init function to pass to jags
AIMS/NEC-estimation documentation built on Dec. 7, 2020, 10:44 a.m.
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Description Usage Arguments Value
View source: R/Write_jags_ECxExpMod.R
Description
Writes an exponential decay two parameter model (top, beta) and generates a function for initial values to pass to jags
Usage
1 | write.jags.ECxExp.mod(x = "gamma", y, mod.dat)
|
Arguments
x |
the statistical distribution to use for the x (concentration) data. This may currently be one of 'beta', 'gaussian', or 'gamma'. Others can be added as required, please contact the package maintainer. |
y |
the statistical distribution to use for the y (response) data. This may currently be one of 'binomial', 'beta', 'poisson', 'gaussian', or 'gamma'. Others can be added as required, please contact the package maintainer. |
mod.dat |
the model data to use |
Value
an init function to pass to jags
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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