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Nelson-Goncran-robot
Nelson-Gon
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version 0.3.9
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‎DESCRIPTION

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Package: manymodelr
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Title: Build and Tune Several Models
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Version: 0.3.7
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Version: 0.3.9
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Authors@R:
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person(given = "Nelson",
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family = "Gonzabato",
@@ -11,21 +11,23 @@ Description: Frequently one needs a convenient way to build and tune
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functions. It provides the ability to build, tune and obtain predictions of
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several models in one function. The models are built using functions from
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'caret' with easier to read syntax.
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Kuhn(2014) <arXiv:1405.6974>.
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Kuhn(2014) <doi:10.48550/arXiv.1405.6974>.
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License: GPL-2
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Encoding: UTF-8
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RoxygenNote: 7.1.2
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Imports: dplyr (>= 1.0.0), ggplot2 (>= 3.3.5), lme4 (>= 1.1.27.1)
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Depends: R (>= 3.6.0), caret (>= 6.0.88), Metrics (>= 0.1.4), e1071 (>=
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RoxygenNote: 7.3.2
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Imports: dplyr (>= 1.0.0), ggplot2 (>= 3.3.5), lme4 (>= 1.1.27.1),
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stringr (>= 1.4.0)
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Depends: R (>= 4.4), caret (>= 6.0.88), Metrics (>= 0.1.4), e1071 (>=
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1.7.8)
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URL: https://github.com/Nelson-Gon/manymodelr
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BugReports: https://github.com/Nelson-Gon/manymodelr/issues
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Suggests: knitr, rmarkdown, testthat, covr, markdown
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VignetteBuilder: knitr
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LazyData: True
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Config/testthat/edition: 3
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NeedsCompilation: no
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Packaged: 2021-11-12 16:25:12 UTC; Nelg
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Packaged: 2025-03-20 02:12:21 UTC; nelson
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Author: Nelson Gonzabato [aut, cre]
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Maintainer: Nelson Gonzabato <gonzabato@hotmail.com>
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Repository: CRAN
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Date/Publication: 2021-11-15 09:20:09 UTC
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Date/Publication: 2025-03-20 07:20:02 UTC

‎MD5

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030751ac79e21a918fc88af42fae8947 *DESCRIPTION
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5b890b4e6702e91bec066f33067d7f43 *NAMESPACE
3-
4e38fdfb0ca675e454a8c09adbdaba0f *NEWS.md
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518454b66ca6118022c2b8af4a0ca8c4 *R/add_model_predictions.R
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f2762e97ba176df4fb8f6353b51378d0 *R/agg_by_group.R
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bc7d09ebabd93ba1d103208c8cac1085 *R/data.R
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7ee638f86123da282b973d967b76c500 *R/extract_model_info.R
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0deaaa2c1bbb6ad744d60ac695796679 *R/fit_model.R
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ed579f7128ef34eb1527045747f3cb93 *DESCRIPTION
2+
b1bfad5e93f9b9507b567c79d1c0b368 *NAMESPACE
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615a3dddf2bf7d509d122740b43d3e90 *NEWS.md
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ad8f7af1da7e07707ed33642c9436728 *R/globals.R
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‎NAMESPACE

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# Generated by roxygen2: do not edit by hand
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import(Metrics,except=c("precision","recall"))
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S3method(agg_by_group,data.frame)
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S3method(agg_by_group,default)
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S3method(drop_non_numeric,data.frame)
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S3method(extract_model_info,aov)
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S3method(extract_model_info,glm)
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S3method(extract_model_info,glmerMod)
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S3method(extract_model_info,glmmTMB)
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S3method(extract_model_info,lm)
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S3method(extract_model_info,lmerMod)
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S3method(get_data_Stats,data.frame)
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S3method(get_exponent,data.frame)
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S3method(get_exponent,numeric)
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S3method(get_mode,character)
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S3method(get_mode,data.frame)
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S3method(get_mode,default)
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S3method(get_mode,numeric)
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S3method(get_this,data.frame)
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S3method(get_this,list)
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S3method(get_var_corr,data.frame)
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S3method(get_var_corr_,data.frame)
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S3method(na_replace,character)
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S3method(na_replace,data.frame)
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S3method(na_replace,numeric)
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S3method(rowdiff,data.frame)
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S3method(select_percentile,data.frame)
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export(add_model_predictions)
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export(add_model_residuals)
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export(agg_by_group)
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export(drop_non_numeric)
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export(extract_model_info)
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export(fit_model)
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export(fit_models)
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export(get_data_Stats)
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export(get_exponent)
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export(get_mode)
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export(get_stats)
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export(get_this)
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export(get_var_corr)
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export(get_var_corr_)
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export(multi_model_1)
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export(multi_model_2)
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export(na_replace)
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export(na_replace_grouped)
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export(plot_corr)
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export(rowdiff)
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export(select_col)
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export(select_percentile)
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import(caret)
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import(e1071)
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import(ggplot2)
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importFrom(dplyr,"%>%")
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importFrom(dplyr,"arrange")
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importFrom(dplyr,"desc")
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importFrom(lme4,lmer)
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importFrom(stats,"as.formula")
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importFrom(stats,"complete.cases")
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importFrom(stats,"na.omit")
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importFrom(stats,"predict")
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importFrom(stats,"setNames")
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importFrom(stats,AIC)
64-
importFrom(stats,aggregate)
65-
importFrom(stats,coef)
66-
importFrom(stats,cor.test)
67-
importFrom(stats,na.omit)
68-
importFrom(stats,residuals)
69-
importFrom(utils,combn)
70-
importFrom(utils,packageVersion)
1+
# Generated by roxygen2: do not edit by hand
2+
3+
import(Metrics,except=c("precision","recall"))
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S3method(agg_by_group,data.frame)
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S3method(agg_by_group,default)
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S3method(drop_non_numeric,data.frame)
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S3method(extract_model_info,aov)
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S3method(extract_model_info,default)
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S3method(extract_model_info,glm)
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S3method(extract_model_info,glmerMod)
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S3method(extract_model_info,glmmTMB)
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S3method(extract_model_info,lm)
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S3method(extract_model_info,lmerMod)
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S3method(get_data_Stats,data.frame)
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S3method(get_exponent,data.frame)
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S3method(get_exponent,numeric)
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S3method(get_mode,character)
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S3method(get_mode,data.frame)
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S3method(get_mode,default)
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S3method(get_mode,numeric)
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S3method(get_this,data.frame)
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S3method(get_this,list)
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S3method(get_var_corr,data.frame)
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S3method(get_var_corr_,data.frame)
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S3method(na_replace,character)
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S3method(na_replace,data.frame)
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S3method(na_replace,numeric)
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S3method(report_model,default)
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S3method(report_model,glm)
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S3method(rowdiff,data.frame)
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S3method(select_percentile,data.frame)
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export(add_model_predictions)
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export(add_model_residuals)
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export(agg_by_group)
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export(drop_non_numeric)
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export(extract_model_info)
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export(fit_model)
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export(fit_models)
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export(get_data_Stats)
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export(get_exponent)
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export(get_mode)
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export(get_stats)
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export(get_this)
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export(get_var_corr)
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export(get_var_corr_)
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export(multi_model_1)
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export(multi_model_2)
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export(na_replace)
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export(na_replace_grouped)
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export(plot_corr)
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export(report_model)
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export(rowdiff)
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export(select_col)
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export(select_percentile)
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import(caret)
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import(e1071)
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import(ggplot2)
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importFrom(dplyr,"%>%")
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importFrom(dplyr,"arrange")
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importFrom(dplyr,"desc")
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importFrom(dplyr,everything)
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importFrom(dplyr,mutate)
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importFrom(dplyr,select)
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importFrom(lme4,lmer)
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importFrom(stats,"as.formula")
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importFrom(stats,"complete.cases")
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importFrom(stats,"na.omit")
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importFrom(stats,"predict")
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importFrom(stats,"setNames")
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importFrom(stats,AIC)
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importFrom(stats,aggregate)
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importFrom(stats,coef)
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importFrom(stats,cor.test)
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importFrom(stats,na.omit)
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importFrom(stats,residuals)
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importFrom(stringr,str_replace_all)
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importFrom(utils,combn)
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importFrom(utils,globalVariables)
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importFrom(utils,packageVersion)

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