add_probs: Function to predict prababilities for each sampled data set...
In peterkuriyama/ch4:
Description
Function to predict prababilities for each sampled data set
Take a model and a predicted set of training data and calculate the probabilities of fishing
in each site given a set choice set.
Usage
1
add_probs(train_dat, the_model, ncores = 6)
Arguments
train_dat
Training data, sampled from training_data function
the_model
Output from sampled_rums function
ncores
Number of cores to run in parallel, defaults to 6
peterkuriyama/ch4 documentation built on June 18, 2021, 9:59 a.m.
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Description
Function to predict prababilities for each sampled data set Take a model and a predicted set of training data and calculate the probabilities of fishing in each site given a set choice set.
Usage
1 | add_probs(train_dat, the_model, ncores = 6)
|
Arguments
train_dat |
Training data, sampled from training_data function |
the_model |
Output from sampled_rums function |
ncores |
Number of cores to run in parallel, defaults to 6 |
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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