As part of our research we're conducted Controlled Interrupted Time Series Analysis on 35 individual case studies. In 33 instances the intervention occurs in is
May I please know an R package and code to run fixed effect instrumental variable (IV) regression with available diagnostic tests (e.g., weak instrument test, e
When I input this code print(cross_val_score(model, X, y, cv=3)) An error comes back that reads name 'model' is not defined: print(cross_val_score(model, X, y
I have built this univariate linear regression model from scratch and I am conceptually ok with how the multivariate version of it works. the problem is that ho
I have some scientific data and wish to find the best region to fit a straight line in. Theoretically, the data should have a constant gradient but other influe
I built a model, using plm package. The sample dataset is here. I am trying to predict on test data and calculate metrics. # Import package library(plm) library
I am trying to build a model to predict house prices. I have some features X (no. of bathrooms , etc.) and target Y (ranging around $300,000 to $800,000) I have
I have a dataset with a lot of categorical mixed with numerical. I am trying to run a regression about obesity where the variables I'm trying to include are sta
A colleague and I ran a multinomial logistic regression using the 'ordinal' package in r and I am not sure how to interpret interactions between variables with
I have taken a house price dataset. I have run the following code: import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns
I want to use stargazer() to create a table of the coefficients of three regressions. I have to rename the independent variables of the regressions and the vari
I have three models for regression: linear regression: using ols_regressor = sm.OLS() random forest: using rf = RandomForestRegressor() artificial neural networ
What regression can I use for brand funnel? The participants who do not choose a brand in the consideration, can not pick the brand in the con
I have a multivariate conditional logistic regression model. Case and controls are matched on a 1 to many basis. I want to make predictions using the model. How
I want to get KerasRegressor history but all the time I get (...) object has no attribute 'History' ''' # Regression Example With Boston Dataset: Standardized a
I have a gam in R (mgcv package) with 7 parameters, and one of them is a fixed effect with 30 levels (30 names). I want to analyse the regression coefficients f
I'm trying to make a single variable regression using decision tree regression. However when I'm plotting the results. Multiple lines show in the plot just like
this will sound very basic, but I cannot find the solution to this problem with my code. I did a univariate regression (regr1) between the 2 variables immigrate
I am trying to predict a single output value,y, using two input features. I read that regression models usually don't use any activation function, and even when
I would like to know, whether there is a pre-built function / package which does a simply OLS regression, by adding one independent variable from a pre-defined