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R/globals.R
In glmfitmiss: Fitting GLMs with Missing Data in Both Responses and Covariates
# In R/globals.R
#' @importFrom utils globalVariables
utils::globalVariables(c(
"resp",
".data",
"VarWithMissingVal",
"augmented",
"df_augmented",
"dfn",
"ry_weight",
"grp","final_df",
"wgt","m","fit",
"R",
"y_weight",
"ttl",
"ttl.prob",
"theta",
"row.num",
".I",
"..MissingVars",
"group_keys",
"glmWeights"
))
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glmfitmiss documentation built on June 8, 2025, 1:59 p.m.
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# In R/globals.R
#' @importFrom utils globalVariables
utils::globalVariables(c(
"resp",
".data",
"VarWithMissingVal",
"augmented",
"df_augmented",
"dfn",
"ry_weight",
"grp","final_df",
"wgt","m","fit",
"R",
"y_weight",
"ttl",
"ttl.prob",
"theta",
"row.num",
".I",
"..MissingVars",
"group_keys",
"glmWeights"
))
Try the glmfitmiss package in your browser
Any scripts or data that you put into this service are public.
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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