| Type: | Package | 
| Title: | Inference of Quadratic Functional for Moderate-Dimensional OLS | 
| Version: | 1.0 | 
| Date: | 2021-3-12 | 
| Author: | Xiao Guo [aut, cre], Guang Cheng [aut], Zixin Lin [trl] | 
| Maintainer: | Xiao Guo <xiaoguo@ustc.edu.cn> | 
| Description: | Statistical inference for quadratic functional of the moderate-dimensional linear model in Guo and Cheng (2021) <doi:10.1080/01621459.2021.1893177>. | 
| License: | GPL-3 | 
| NeedsCompilation: | no | 
| Packaged: | 2021-03-13 09:30:27 UTC; linderson | 
| Repository: | CRAN | 
| Date/Publication: | 2021-03-16 08:50:25 UTC | 
R Package for Quadratic Functional of Moderate-Dimensional OLS
Description
This package conduct statistical inference for quadratic functional of the moderate-dimensional linear model in Guo and Cheng (2020).
Usage
MD_OLS(type_inference, level_significance, null_value, X, Y, V, W)
Arguments
| type_inference | the type of inference: 0-confidence interval for quadratic functional; 1-signal detection; 2-FVE; 3-error variance; 4-equality of two parameters; 5-co-heritability; 6-confidence ball; 7-inference for quadratic functional | 
| level_significance | nominal significance level, default value is 0.05 | 
| null_value | the null value for hypothesis testing | 
| X | n by p matrix of predictor for model 1 | 
| Y | n by 1 vector of response for model 1 | 
| V | n by p matrix of predictor for model 2 | 
| W | n by 1 vector of response for model 2 | 
Details
"type_inference", "X" and "Y" are required inputs.
Value
| eta_hat_proposed | proposed estimator for eta | 
| rho_hat_proposed | proposed estimator for rho | 
| var_proposed_test | proposed estimator for the variance part | 
| var_convnetional_test | conventional estimator for the variance part | 
| CI_proposed_method_lower | lower bound of the confidence interval | 
| CI_proposed_method_upper | upper bound of the confidence interval | 
| test_stat_proposed | proposed test statistic | 
| test_stat_conventional | conventional test statistic | 
| p_value_proposed | p-value of the proposed test | 
| p_value_conventional | p-value of the conventional test | 
| norm_beta_estimated | estimated norm of beta | 
| norm_gamma_estimated | estimated norm of gamma | 
| co_herit_hat_proposed | proposed estimate of co-heritability | 
| co_herit_hat_conventional | conventional estimate of co-heritability | 
| sigma_star_hat_square | sigma star hat square | 
| ID_correctly_covered_by_confidence_ball_two_sided | indicator that the parameter is covered by the two-sided confidence ball | 
| ID_correctly_covered_by_confidence_ball_one_sided | indicator that the parameter is covered by the one-sided confidence ball | 
Note
NA
Author(s)
Xiao Guo and Guang Cheng
References
Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares
See Also
NA
Examples
type<-4
level<-0.05
null_value<-0
n_1 <- 500
p <-100
n_2 <- 600
X<-matrix(rnorm(n_1*p),nrow=n_1,ncol=p)
eps<-matrix(rnorm(n_1),nrow=n_1,ncol=1)
Y <- X[,1] + eps
V<-matrix(rnorm(n_2*p),nrow=n_2,ncol=p)
delta<-matrix(rnorm(n_2),nrow=n_2,ncol=1)
W<-V[,1] + delta
MD_OLS(type, level, null_value, X, Y,V,W)