| Rcpp_miceFast-class | R Documentation |
"Rcpp_miceFast"This C++ class could be used to build a miceFast objects by invoking new(miceFast) function.
set_data(...):providing data by a reference - a numeric matrix
set_g(...):providing a grouping variable by a reference - a numeric vector WITOUT NA values - positive values
set_w(...):providing a weightinh variable by a reference - a numeric vector WITOUT NA values - positive values
set_ridge(...):providing a ridge i.e. the disturbance to diag of XX, default 1e-6
get_data(...):retrieving the data
get_w(...):retrieving the weighting variable
get_g(...):retireiving the grouping variable
get_ridge(...):retireiving the ridge disturbance
get_index(...):getting the index
impute(...):impute data under characterstics from the object like a optional grouping or weighting variable
impute_N(...):multiple imputations - impute data under characterstics from the object like a optional grouping or weighting variable
update_var(...):permanently update the variable at the object and data. Use it only if you are sure about model parameters
get_models(...):get possible quantitative models for a certain type of dependent variable
get_model(...):get a recommended quantitative model for a certain type of dependent variable
which_updated(...):which variables at the object was modified by update_var
sort_byg(...):sort data by the grouping variable
is_sorted_byg(...):check if data is sorted by the grouping variable
vifs(...):Variance inflation factors (VIF) - helps to check when the predictor variables are not linearly related
initialize(...):...
finalize():...
This is only frame for building C++ object which could be used to implement certain methods. Check the vignette for more details of implementing these methods.
Vigniette: https://CRAN.R-project.org/package=miceFast
See the documentation for Rcpp modules for more details of how this class was built.
vignette("Rcpp-modules", package = "Rcpp")
#showClass("Rcpp_miceFast")
show(miceFast)
new(miceFast)
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