Imports: dplyr, purrr, rlang, mlegp, logitnorm, tibble

Imports: dplyr, purrr, rlang, mlegp, tibble
Suggests: testthat, minpack.lm, segmented, knitr, rmarkdown
Collate: 'CheckVal.R' 'DataFunctions.R' 'aEddy.R' 'EddyGapfilling.R'

Suggests: ncdf4, RNetCDF, testthat, minpack.lm, segmented, knitr

Description: Standard and extensible Eddy-Covariance data post-processing
Imports: dplyr, purrr, rlang, mlegp, tibble, magrittr, solartime
Suggests: testthat, minpack.lm, segmented, knitr, rmarkdown, lognorm,

,person( "Ladislav", "<U+0160>igut", role=c("ctb"), email="sigut.l@czechglobe.cz" )
Imports: Rcpp, dplyr, purrr, rlang, readr, mlegp, tibble, magrittr,

Imports: Rcpp, dplyr, purrr, rlang, readr, tibble, magrittr, solartime,

Title: Reading Data from NetCDF Files for 'REddyProc'
Description: Extension to 'REddyProc' that allows reading data from netCDF files.
Suggests: ncdf4, RNetCDF, testthat, knitr, rmarkdown

Title: Fitting Linear Models with Endogenous Regressors when No
Description: Fits linear models with endogenous regressors using Internal
Instrumental Variables (IIV) methods. These are statistical techniques to
correct for endogeneity when no strong, valid external instrumental variables
are available. The first version of the package offers two methods, the Latent
Instrumental Variables (Ebbes et al., 2005) and Lewbel's higher moments approach
(Lewbel, 1997). In a second version of the package, two other methods will be
added, joint estimation using copulas (Park and Gupta, 2012) and multilevel GMM

Title: Fitting Linear Models with Endogenous Regressors using Latent
Description: Fits linear models with endogenous regressor using latent
instrumental variable approaches. The methods included in the package are Lewbel's (1997)
higher moments approach as well as Lewbel's (2012) heteroskedasticity approach, Park and Gupta's (2012) joint estimation method that uses Gaussian
copula and Kim and Frees's (2007) multilevel generalized method of moment approach that deals with endogeneity in a multilevel setting.
These are statistical techniques to address the endogeneity problem where no external instrumental variables are needed.
Imports: optimx, mvtnorm, AER,e1071, stats, corpcor, lme4, gmm, lmtest,