write a code in R to generate data and simulate for Partial Residual -Robust-Ridge estimator for partially linear regression model

Closed Posted 5 months ago Paid on delivery
Closed Paid on delivery

I am looking for a freelancer who can write a code in R to generate data and simulate the Partial Residual-Robust-Ridge estimator for a partially linear regression model. The code should serve the purpose of both generating data for analysis and simulating the estimator.

- The freelancer will have to generate the data for the simulation, as no specific data set has been provided.

- The code should include full documentation, providing a detailed explanation of the processes and calculations involved.

- The ideal freelancer for this project should have expertise in R programming and experience with generating data and simulating estimators for regression models.

- Attached (2 papers) which already published before about (New robust-ridge estimators for partially linear model) and (Robust partial residuals estimation in semiparametric partially linear model) but we what we need here is to generate a model to simulate Partial Residual -Robust-Ridge estimator for partially linear regression model

R Programming Language Statistical Analysis Statistics Algorithm

Project ID: #37527706

About the project

5 proposals Remote project Active 4 mos ago

5 freelancers are bidding on average $30 for this job

TheDataAnalysts

Hello, I read through. I am a senior Statistician and I can help you with the R coding. Kindly text me over the chats we discuss further. Thank you

$75 USD in 2 days
(4 Reviews)
3.7
Bhartifreelancer

Dear Client, Greetings!!!!!!! I have gone through your initial project information to write a code in R to generate data and simulate the Partial Residual-Robust-Ridge estimator for a partially linear regression mode More

$15 USD in 1 day
(5 Reviews)
2.9
rclar6294

Currently doing this for my program evaluation and data analytics graduate program. This will be excellent practice for me.

$30 USD in 1 day
(0 Reviews)
0.0