add_predict: add predicted values or residuals under FE projection
In adzemski/netprobitFE: Network probit with fixed effects
Description
add predicted values or residuals under FE projection
Usage
1
2
add_predict(model, long, var_name, new_var_name,
var_name_weights = "omega", force_robust = FALSE, residuals = TRUE)
Arguments
model
list that describes the model specification
long
data.table
var_name
name of variable
new_var_name
name of new variable with residuals
var_name_weights
variable with weights
force_robust
logical, force using numerically stable (but possibly slow)
algorithm to fit probit
residuals
logical, TRUE = compute residuals, FALSE = compute predicted values
adzemski/netprobitFE documentation built on May 17, 2019, 11:40 a.m.
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Description
add predicted values or residuals under FE projection
Usage
1 2 | add_predict(model, long, var_name, new_var_name,
var_name_weights = "omega", force_robust = FALSE, residuals = TRUE)
|
Arguments
model |
list that describes the model specification |
long |
data.table |
var_name |
name of variable |
new_var_name |
name of new variable with residuals |
var_name_weights |
variable with weights |
force_robust |
logical, force using numerically stable (but possibly slow) algorithm to fit probit |
residuals |
logical, TRUE = compute residuals, FALSE = compute predicted values |
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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