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PanJen: An R package for ranking transformations in a linear regression
Cathrine Ulla Jensen, Toke Emil Panduro
Section for Environment and Natural Resources
2
Citations (Scopus)
45
Downloads (Pure)
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Dive into the research topics of 'PanJen: An R package for ranking transformations in a linear regression'. Together they form a unique fingerprint.
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Mathematics
Ranking
98%
Linear regression
95%
Endogeneity
30%
Dependent
25%
Multiple Linear Regression
24%
Form
23%
Heteroscedasticity
23%
Data-driven
22%
Linear Regression Model
19%
Choose
17%
Covariates
16%
Regression
14%
Range of data
11%
Relationships
11%
Model
6%
Business & Economics
Linear Regression
100%
Ranking
99%
Functional Form
61%
Endogeneity
33%
Heteroscedasticity
23%
Linear Regression Model
21%
Multiple Linear Regression
21%
Covariates
19%
Inefficiency
16%