mrmp: MRmP - Multilevel Regression and Marginal Poststratification
In jwyatt85/MRmP: MRmarginalP

Creates subnational estimates based on the weighted frequence of each subgroup based on their joint probabilities

1 2	mrmp(survey_data, jointp_list, individualvars, groupingvars, response, survey_sample = NULL, weights = NULL)

`survey_data`	A survey data frame
`jointp_list`	A data frame containg the weighted frequency of each strata
`individualvars`	variables used in mixed effects formula that will have random intercepts
`groupingvars`	variables used in mixed effects formula that serve as state-level grouping vars and do not have random intercepts
`response`	The response/outcome variable on which to regress
`survey_sample`	Total amount to sample from surve_data
`weights`	Weights to be used in the bglmer