Provides a novel framework to estimate mixed models via gradient 
    boosting. The implemented functions are based on the 'mboost' and 'lme4' packages, 
    and the family range is therefore determined by 'lme4'. A correction mechanism 
    for cluster-constant covariates is implemented, as well as estimation of the 
    covariance of random effects. These methods are described in 
    the accompanying publication; see <doi:10.1007/s11222-025-10612-y> for details.

Perform missing value imputation for biological data using the random forest algorithm, the imputation aim to keep the original mean and standard deviation consistent after imputation.

N>=3 methods are used to measure each of n items. 
 The data are used to estimate simultaneously systematic error (bias)
 and random error (imprecision). Observed measurements for each method
 or device are assumed to be linear functions of the unknown true values
 and the errors are assumed normally distributed. Pairwise calibration
 curves and plots can be easily generated. Unlike the 'ncb.od' function,
 the 'omx' function builds a one-factor measurement error model using 'OpenMx'
 and allows missing values, uses full information maximum likelihood to 
 estimate parameters, and provides both likelihood-based and bootstrapped 
 confidence intervals for all parameters, in addition to Wald-type intervals.

Provides methods for extracting results from mixed-effect model
    objects fit with the 'lme4' package. Allows construction of prediction intervals
    efficiently from large scale linear and generalized linear mixed-effects models.
    This method draws from the simulation framework used in the Gelman and Hill (2007) textbook:
    Data Analysis Using Regression and Multilevel/Hierarchical Models.

A collection of functions to download and process weather data from
  the Oklahoma Mesonet <https://mesonet.org>. Functions are available for downloading station metadata,
  downloading Mesonet time series (MTS) files, importing MTS files into R, and 
  converting soil temperature change measurements into soil matric potential and
  volumetric soil moisture.