gcf_glmm: Gear Calibration Factor summary table, hierarchical model...
In marcnadon/Calibr: Standardization of population abundance datasets
Description
Usage
Arguments
Value
Description
Sets summary table for the Gear Calibration Factor for all groups analyzed under a single hierarchical, mixed-effect model.
Usage
1
gcf_glmm(ORIG, std_method, min_obs = 10, n_sample = 5)
Arguments
ORIG
Original survey dataset
std_method
Denotes Survey dataset METHOD string as the Standard METHOD
min_obs
Minimum limit for the number of observations.
n_sample
Number of Samples
Value
List of objects containing the following:
- M.Effect.Pres
.
- M.Effect.Pos
.
- GCF.Pres.Detail
.
- GCF.Pos.Detail
Data Frame summary of .
- GCFs
Input fot Calibrate_dataset funct.
- SUMMARY
Original survey dataset with the calibrated GCFs
marcnadon/Calibr documentation built on Nov. 4, 2019, 5:22 p.m.
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Description Usage Arguments Value
Description
Sets summary table for the Gear Calibration Factor for all groups analyzed under a single hierarchical, mixed-effect model.
Usage
1 | gcf_glmm(ORIG, std_method, min_obs = 10, n_sample = 5)
|
Arguments
ORIG |
Original survey dataset |
std_method |
Denotes Survey dataset METHOD string as the Standard METHOD |
min_obs |
Minimum limit for the number of observations. |
n_sample |
Number of Samples |
Value
List of objects containing the following:
- M.Effect.Pres
.
- M.Effect.Pos
.
- GCF.Pres.Detail
.
- GCF.Pos.Detail
Data Frame summary of .
- GCFs
Input fot Calibrate_dataset funct.
- SUMMARY
Original survey dataset with the calibrated GCFs
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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