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EcoMetrics (version 0.1.1)

Econometrics Model Building

Description

An intuitive and user-friendly package designed to aid undergraduate students in understanding and applying econometric methods in their studies, Tailored specifically for Econometrics and Regression Modeling courses, it provides a practical toolkit for modeling and analyzing econometric data with detailed inference capabilities.

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Version

Install

install.packages('EcoMetrics')

Monthly Downloads

142

Version

0.1.1

License

MIT + file LICENSE

Maintainer

Mutua Kilai

Last Published

January 28th, 2025

Functions in EcoMetrics (0.1.1)

multicollinearity_assumption

Multicollinearity Assumption
normality_assumption

Checking normality of residuals
ols_model

Fitting a simple or multiple linear regression
ols_model_stats

Model Summary Statistics
ols_model_sig

F-statistic attributes
heteroscedasticity_assumption

Checking heteroscedasticity assumption
autocorrelation_assumption

Check model for residual independence
get_coefficients_variance

Get variance of the model coefficients
check_model_sig

Checking Overall Model Significance
eduperform

Student Performance Data
fit_arima

Fit ARIMA models to univariate data
ACF_PLOT

Plots ACF of a univariate time series
best_arima

Select Optimal Model based on BIC
get_confint

Confidence Intervals of Model Parameters
check_stationarity

Check Series for Weak Stationarity
PACF_PLOT

Plots PACF of a univariate time series
predict_dep_var

Prediction from new observations
select_optimal_model

Choosing Best Model Based on AIC, BIC and Adjusted R Squared
keconomy

Kenya Unemployment Rate and GDP Growth rate for 1999-2023
get_significant_predictors

Obtaining only significant predictors from a model