Packaged: 2016-07-22 21:48:32 UTC; gumengyang

Packaged: 2020-07-08 22:11:57 UTC; mengyanggu

Packaged: 2020-10-14 21:49:45 UTC; mengyanggu

Packaged: 2021-05-17 06:45:57 UTC; mengyanggu

Packaged: 2021-08-29 06:46:32 UTC; mengyanggu

Packaged: 2021-12-23 00:49:11 UTC; mengyanggu

Description: Robust parameter estimation and prediction of Gaussian stochastic
process emulators. It allows for robust parameter estimation and prediction using
Gaussian stochastic process emulator. It also implements the parallel partial
Gaussian stochastic process emulator for computer model with massive outputs
See the reference: Mengyang Gu and Jim Berger, 2016, Annals of Applied Statistics;
Mengyang Gu, Xiaojing Wang and Jim Berger, 2018, Annals of Statistics.
Packaged: 2022-06-01 05:36:36 UTC; mengyanggu

Title: Robust Instrumental Variable Methods in Linear Models
Description: Inference for the treatment effect with possibly invalid instrumental variables via TSHT('Guo et al.' (2016) <arXiv:1603.05224>) and SearchingSampling('Guo' (2021) <arXiv:2104.06911>), which are effective for both low- and high-dimensional covariates and instrumental variables; test of endogeneity in high dimensions ('Guo et al.' (2016) <arXiv:1609.06713>).
Imports: glmnet, MASS, Matrix, igraph, intervals, CVXR

Author: Santiago I. Hurtado <santih@carina.fcaglp.unlp.edu.ar>
Description: Provides an easy way to compute the Theil Sehn Regression method and also the Siegel Regression Method which are both robust methods base on the median of slopes between all pairs of data. In contrast with the least squared linear regression, these methods are not sensitive to outliers. Theil, H. (1992) <doi:10.1007/978-94-011-2546-8_20>, Sen, P. K. (1968) <doi:10.1080/01621459.1968.10480934>.

Title: Methods for robust rank aggregation
Description: Methods for aggregating ranked lists, especially lists of
genes. It implements the Robust Rank Aggregation (Kolde et. al
in preparation) and some other simple algorithms for the task.
RRA method uses a probabilistic model for aggregation that is
robust to noise and also facilitates the calculation of
significance probabilities for all the elements in the final