Multivariate empirical cumulative distribution functions,
including both step functions and continuous functions.

person("Tomas", "Karpati", email = "karpati@it4biotech.com",
role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2650-6192"))
Utilities that help researchers in various phases of their research work. This package offer a function that automate the exploratory data analysis, a function for the generation of Table 1 (required on many epidemiological papers) which can be exported to excel. There is also a function for generation of a forestplot with a table and relative risks or odds ratios that can be used for publication. Additionally, there is a function that generates train/test random partitions used for model evaluation that checks for the balance of the partitions.
stats, grDevices, rlang, utils, car, Hmisc, ROSE, pROC,
ResourceSelection, InformationValue, gmodels, dplyr, tibble,
givitiR, coxphw, ggplot2, writexl, MASS
Tomas Karpati [aut, cre] (<https://orcid.org/0000-0003-2650-6192>)

Compare Microbial Networks of 'trans_network' Class of
'microeco' Package
c(person("Chi", "Liu", role = c("aut", "cre"), email = "liuchi0426@126.com"),
person("Minjie", "Yao", role = "ctb", email = "yaomj@fafu.edu.cn"),
person("Xiangzhen", "Li", role = "ctb", email = "lixz@cib.ac.cn")
)
Chi Liu [aut, cre],
Minjie Yao [ctb],
Xiangzhen Li [ctb]
Compare microbial co-occurrence networks created from 'trans_network' class of 'microeco' package <https://github.com/ChiLiubio/microeco>.
This package is the extension of 'trans_network' class of 'microeco' package and especially useful when different networks are constructed and analyzed simultaneously.
microeco, magrittr, dplyr, igraph, reshape2

R6, microeco (>= 0.12.0), magrittr, dplyr, igraph, reshape2,
ggpubr

Measurement Error Correction in Linear Models with a Continuous
Outcome
Covariate measurement error correction is implemented by means of regression calibration by Carroll RJ, Ruppert D, Stefanski LA & Crainiceanu CM (2006, ISBN:1584886331), efficient regression calibration by Spiegelman D, Carroll RJ & Kipnis V (2001) <doi:10.1002/1097-0258(20010115)20:1%3C139::AID-SIM644%3E3.0.CO;2-K> and maximum likelihood estimation by Bartlett JW, Stavola DBL & Frost C (2009) <doi:10.1002/sim.3713>. Outcome measurement error correction is implemented by means of the method of moments by Buonaccorsi JP (2010, ISBN:1420066560) and efficient method of moments by Keogh RH, Carroll RJ, Tooze JA, Kirkpatrick SI & Freedman LS (2014) <doi:10.1002/sim.7011>. Standard error estimation of the corrected estimators is implemented by means of the Delta method by Rosner B, Spiegelman D & Willett WC (1990) <doi:10.1093/oxfordjournals.aje.a115715> and Rosner B, Spiegelman D & Willett WC (1992) <doi:10.1093/oxfordjournals.aje.a116453>, the Fieller method described by Buonaccorsi JP (2010, ISBN:1420066560), and the Bootstrap by Carroll RJ, Ruppert D, Stefanski LA & Crainiceanu CM (2006, ISBN:1584886331).