predict_mean_prior: predict_mean_prior
In UofTActuarial/LRMoE: Logit-Weighted Reduced Mixture-of-Experts
Description
Usage
Arguments
Value
Description
Predicts the mean values of response, given covariates X, logit regression coefficients alpha and a specified model of expert functions.
Usage
1
predict_mean_prior(X, alpha, model, exposure_future = list())
Arguments
X
A matrix of covariates.
alpha
A matrix of logit regression coefficients.
model
An ExpertMatrix
exposure_future
A vector indicating the time exposure (future) of each observation. If nothing is supplied,
it is set to 1.0 by default.
Value
result:
A matrix of predicted mean values of response, based on prior probabilities.
UofTActuarial/LRMoE documentation built on Feb. 18, 2022, 1:36 a.m.
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Description Usage Arguments Value
Description
Predicts the mean values of response, given covariates X, logit regression coefficients alpha and a specified model of expert functions.
Usage
1 | predict_mean_prior(X, alpha, model, exposure_future = list())
|
Arguments
X |
A matrix of covariates. |
alpha |
A matrix of logit regression coefficients. |
model |
An ExpertMatrix |
exposure_future |
A vector indicating the time exposure (future) of each observation. If nothing is supplied, it is set to 1.0 by default. |
Value
result: A matrix of predicted mean values of response, based on prior probabilities.
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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