Urgent R Statistical Modeling Assistance
Budget: $8 – $15 AUD
I need someone who can jump straight into R and help me complete a statistical-modeling task as soon as possible. The goal is to build, validate, and clearly document models in R, delivering:
• An R script (or R Markdown) that runs end-to-end without errors
• Well-commented code that explains each step of the modeling workflow
• A concise summary of findings, key diagnostics, and any recommendations
I will share the problem statement and data structure the moment you’re onboard, so please be comfortable working under tight deadlines and making decisions about the appropriate modeling approach (linear, GLM, time-series, or another method you might propose). Familiarity with tidyverse, stats, and model-evaluation packages such as broom, caret, or forecast will be a plus.
If you have the bandwidth to start immediately and can deliver clean, reproducible R code along with a brief insight report, let’s get moving.
• An R script (or R Markdown) that runs end-to-end without errors
• Well-commented code that explains each step of the modeling workflow
• A concise summary of findings, key diagnostics, and any recommendations
I will share the problem statement and data structure the moment you’re onboard, so please be comfortable working under tight deadlines and making decisions about the appropriate modeling approach (linear, GLM, time-series, or another method you might propose). Familiarity with tidyverse, stats, and model-evaluation packages such as broom, caret, or forecast will be a plus.
If you have the bandwidth to start immediately and can deliver clean, reproducible R code along with a brief insight report, let’s get moving.