I will perform advanced regression modeling in r and python

I provide simple and multiple linear regression, logistic regression, multinomial and ordinal regression, Poisson regression, nonlinear regression, and generalized linear models (GLM). I also work with Ridge, Lasso, Elastic Net, WLS, and GLS depending on your research objectives.

Yes. I perform statistical analysis and regression modeling using RStudio and Python, including packages such as stats, glmnet, scikit-learn, and statsmodels. I can provide reproducible R scripts, Python code, R Markdown, or Jupyter Notebook files as agreed.

Yes. I can evaluate your dependent and independent variables, data structure, statistical assumptions, and analysis objectives to recommend an appropriate regression model. I can also compare alternative models using relevant statistical and predictive performance measures.

Yes. I can perform regression diagnostics, including multicollinearity (VIF), heteroscedasticity, residual normality, autocorrelation, outlier analysis, and influential observation checks where applicable. I also provide diagnostic plots and explain the findings.

Yes. I offer binary logistic regression, multinomial logistic regression, and ordinal regression for suitable categorical outcomes. Depending on the project, I can provide odds ratios, model interpretation, confusion matrices, ROC curves, and classification performance metrics.

Yes. Depending on your selected package, deliverables can include documented R or Python code, regression tables, diagnostic plots, model evaluation results, and written interpretations. Reproducible R Markdown and Jupyter Notebook reports are also available.

Yes. I explain regression coefficients, p-values, confidence intervals, R-squared, adjusted R-squared, and other relevant model statistics. I can also interpret the practical implications of findings for research reports, publications, and business decisions.

Please provide your dataset in CSV, Excel, or another suitable format, along with your research objectives, dependent and independent variables, preferred regression method, software requirements, and expected deliverables. If you are unsure about the method, I can help determine an appropriate appr

Yes. I can work on advanced statistical modeling, large or complex datasets, model comparisons, and customized regression analysis. The cost and delivery time depend on the dataset, methods, and required outputs. Please message me before ordering for a suitable package or custom offer.

Yes. I specialize in regularized regression methods, including Ridge, Lasso, and Elastic Net. These techniques can help address multicollinearity, control overfitting, and perform variable selection where appropriate. I can also optimize model parameters using cross-validation.