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lpirfs (version 0.2.4)

ols_diagnost: Compute diagnostics for OLS models

Description

Compute OLS diagnostics such as R^2, adjusted R^2, AIC, etc.

Usage

ols_diagnost(y, x)

Value

A list:

beta

Point estimates of OLS regression.

beta_cov

Covariance matrix of point estimates.

R^2

The R^2 statistic from OLS regression.

Adj.R^2

The adjusted R^2 staistic from OLS regression.

F-stat

The computed F-statistic.

df1

First degress of freedom for F-statistic.

df2

Second degrees of freedom for F-staitisc.

AIC_c

The AIC_c criterion by Hurvich and Tsai (1989)

AIC

The AIC criterion by Akaike (1974)

BIC

The BIC criterion by Schwarz and Gideon (1978)

Arguments

y

Numeric vector.

x

Numeric matrix.

References

Akaike, H. (1974). "A new look at the statistical model identification", IEEE Transactions on Automatic Control, 19 (6): 716–723.

Hurvich, C. M., and Tsai, C.-L. (1989). "Regression and time series model selection in small samples", Biometrika, 76(2): 297–307,

Schwarz, G.(1978). "Estimating the dimension of a model", Annals of Statistics, 6 (2): 461–464.