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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
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17%
Covariates
16%
Data-driven
22%
Dependent
25%
Endogeneity
30%
Form
23%
Heteroscedasticity
23%
Linear regression
95%
Linear Regression Model
19%
Model
6%
Multiple Linear Regression
24%
Range of data
11%
Ranking
98%
Regression
14%
Relationships
11%
Business & Economics
Covariates
19%
Endogeneity
33%
Functional Form
61%
Heteroscedasticity
23%
Inefficiency
16%
Linear Regression
100%
Linear Regression Model
21%
Multiple Linear Regression
21%
Ranking
99%