You will get missing data analysis with imputation and pooled estimates
Project details
When data values are missing, estimates are less valid and unreliable. Data files of employees and clients may have some values missing for continuous variables like salaries of different years or categorical variables like job type etc. I will impute those missing values using MICE, knn, class, mi, Amellia packages in r or suitable statistical predictive models. I will do analysis of multiple imputed data sets and provide final estimates, summary and boxplots of Mean Square errors. You will get missing values imputed in your data set. I will decide imputation model best for prediction and imputation. I will do the analysis of complete data and provide estimate of your choice. (1) R source code (2) word description file (3) imputed data sets (4) pooled estimates will be provided in delivery.
Data Tool
RWhat's included
| Service Tiers |
Starter
$105
|
Standard
$205
|
Advanced
$305
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 2 | Unlimited |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$145 - $345
Additional Revision
+$10About Humera
AI training/Data analysis/Missing data /Data annotation and labeling
Faisalabad, Pakistan - 9:53 pm local time
Steps for completing your project
After purchasing the project, send requirements so Humera can start the project.
Delivery time starts when Humera receives requirements from you.
Humera works on your project following the steps below.
Revisions may occur after the delivery date.
Client will discuss details.
I will do R coding and impute a subset of incomplete data. Discuss the results. After modifications, imputation will be performed on complete data, multiple imputations will be made and estimates of model will be pooled using Rubin's formula.