conditionalcenterProdCap: Center productivty and log capacity parameters conditioned on...
In eeholmes/DM: Dynamic Model
Description
Usage
Arguments
Value
Description
Center capacity and productivity so that parameters can be compared to estimates from an analysis where the covariates were (possibly) centered. VRAP uses the uncentered parameters. The input$centerFlow and input$centerMS variables specify whether and which covariates were centered for the Bayesian analysis.
Usage
1
conditionalcenterProdCap(input, dat, params)
Arguments
dat
data from the A & P file
params
a vector of parameters with names flowCoef, msCoef, prod, cap. Assumed to be uncentered, e.g. the ML estimates from the SR model with covariates.
Value
a vector of centered parameters with names flowCoef, msCoef, prod, cap.
eeholmes/DM documentation built on May 26, 2019, 3:36 p.m.
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Description Usage Arguments Value
Description
Center capacity and productivity so that parameters can be compared to estimates from an analysis where the covariates were (possibly) centered. VRAP uses the uncentered parameters. The input$centerFlow and input$centerMS variables specify whether and which covariates were centered for the Bayesian analysis.
Usage
1 | conditionalcenterProdCap(input, dat, params)
|
Arguments
dat |
data from the A & P file |
params |
a vector of parameters with names flowCoef, msCoef, prod, cap. Assumed to be uncentered, e.g. the ML estimates from the SR model with covariates. |
Value
a vector of centered parameters with names flowCoef, msCoef, prod, cap.
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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