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IndrajeetPatil · Feb 19, 2021 · a631523 · a631523 · lintr-bot · Feb 19, 2021
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diff --git a/README.Rmd b/README.Rmd
@@ -926,7 +926,7 @@ Following tests are carried out for each type of analyses-
 Type of data | Design | Test | Function used
 ----------- | ------------ | ------------------------- | -----
 Unpaired | $n \times p$ contingency table | Pearson's $\chi^2$ test | `stats::chisq.test`
-Paired | $n \times p$ contingency table | McNemar's $\chi^2$ test | `stats::mcnemar.tests`
+Paired | $n \times p$ contingency table | McNemar's $\chi^2$ test | `stats::mcnemar.test`
 Frequency | $n \times 1$ contingency table | Goodness of fit ($\chi^2$ test) | `stats::chisq.test`
 
 Following effect sizes (and confidence intervals/CI) are available for each type
@@ -1094,19 +1094,19 @@ also supported by `ggcoefstats`. For example-
 `BFBayesFactor`, `bglmerMod`, `bife`, `bigglm`, `biglm`, `blavaan`, `bmlm`,
 `blmerMod`, `bracl`, `brglm`, `brglm2`, `brmsfit`, `brmultinom`, `btergm`,
 `cch`, `censReg`, `cgam`, `cgamm`, `cglm`, `clm`, `clm2`, `clmm`, `clmm2`,
-`coeftest`, `complmrob`, `confusionMatrix`, `coxme`, `coxph`, `coxph.penal`,
-`cpglm`, `cpglmm`, `crch`, `crq`, `crr`, `DirichReg`, `drc`, `eglm`, `elm`,
-`emmGrid`, `epi.2by2`, `ergm`, `feis`, `felm`, `fitdistr`, `fixest`,
-`flexsurvreg`, `gam`, `Gam`, `gamlss`, `garch`, `geeglm`, `glmc`, `glmerMod`,
-`glmmTMB`, `gls`, `glht`, `glm`, `glmm`, `glmmadmb`, `glmmPQL`, `glmRob`,
-`glmrob`, `glmx`, `gmm`, `HLfit`, `hurdle`, `ivFixed`, `ivprobit`, `ivreg`,
-`iv_robust`, `lavaan`, `lm`, `lm.beta`, `lmerMod`, `lmerModLmerTest`, `lmodel2`,
-`lmRob`, `lmrob`, `lm_robust`, `logitmfx`, `logitor`, `logitsf`, `LORgee`,
-`lqm`, `lqmm`, `lrm`, `manova`, `maov`, `margins`, `mcmc`, `mcmc.list`,
-`MCMCglmm`, `mclogit`, `mice`, `mmclogit`, `mediate`, `metafor`, `merMod`,
-`merModList`, `metaplus`, `mixor`, `mjoint`, `mle2`, `mlm`, `multinom`,
-`negbin`, `negbinmfx`, `negbinirr`, `nlmerMod`, `nlrq`, `nlreg`, `nls`,
-`orcutt`, `orm`, `plm`, `poissonmfx`, `poissonirr`, `polr`, `ridgelm`,
+`coeftest`, `complmrob`, `confusionMatrix`, `coxme`, `coxph`, `coxr`,
+`coxph.penal`, `cpglm`, `cpglmm`, `crch`, `crq`, `crr`, `DirichReg`, `drc`,
+`eglm`, `elm`, `emmGrid`, `epi.2by2`, `ergm`, `feis`, `felm`, `fitdistr`,
+`fixest`, `flexsurvreg`, `gam`, `Gam`, `gamlss`, `garch`, `geeglm`, `glmc`,
+`glmerMod`, `glmmTMB`, `gls`, `glht`, `glm`, `glmm`, `glmmadmb`, `glmmPQL`,
+`glmRob`, `glmrob`, `glmx`, `gmm`, `HLfit`, `hurdle`, `ivFixed`, `ivprobit`,
+`ivreg`, `iv_robust`, `lavaan`, `lm`, `lm.beta`, `lmerMod`, `lmerModLmerTest`,
+`lmodel2`, `lmRob`, `lmrob`, `lm_robust`, `logitmfx`, `logitor`, `logitsf`,
+`LORgee`, `lqm`, `lqmm`, `lrm`, `manova`, `maov`, `margins`, `mcmc`,
+`mcmc.list`, `MCMCglmm`, `mclogit`, `mice`, `mmclogit`, `mediate`, `metafor`,
+`merMod`, `merModList`, `metaplus`, `mixor`, `mjoint`, `mle2`, `mlm`,
+`multinom`, `negbin`, `negbinmfx`, `negbinirr`, `nlmerMod`, `nlrq`, `nlreg`,
+`nls`, `orcutt`, `orm`, `plm`, `poissonmfx`, `poissonirr`, `polr`, `ridgelm`,
 `riskRegression`, `rjags`, `rlm`, `rlmerMod`, `robmixglm`, `rq`, `rqs`, `rqss`,
 `rrvglm`, `scam`, `semLm`, `semLme`, `slm`, `speedglm`, `speedlm`, `stanfit`,
 `stanreg`, `summary.lm`, `survreg`, `svyglm`, `svyolr`, `svyglm`, `tobit`,

diff --git a/README.md b/README.md
@@ -7,9 +7,9 @@
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+| [![lifecycle](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://lifecycle.r-lib.org/articles/stages.html)                                      | [![R build status](https://github.com/IndrajeetPatil/ggstatsplot/workflows/R-CMD-check/badge.svg)](https://github.com/IndrajeetPatil/ggstatsplot)                                            | [![Monthly downloads badge](https://cranlogs.r-pkg.org/badges/last-month/ggstatsplot?color=blue)](https://CRAN.R-project.org/package=ggstatsplot) | [![Github Issues](https://img.shields.io/badge/issues-10-red.svg)](https://github.com/IndrajeetPatil/ggstatsplot/issues)                                       | [![vignettes](https://img.shields.io/badge/vignettes-0.6.5-orange.svg?colorB=FF5722)](https://indrajeetpatil.github.io/ggstatsplot/articles/)                   |
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 # Raison d’être <img src="man/figures/logo.png" align="right" width="360" />
@@ -1045,11 +1045,11 @@ grouped_ggpiestats(
 
 Following tests are carried out for each type of analyses-
 
-| Type of data | Design                                                                                                         | Test                                                                                                  | Function used          |
-|--------------|----------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------|------------------------|
-| Unpaired     | ![n \\times p](https://chart.apis.google.com/chart?cht=tx&chl=n%20%5Ctimes%20p "n \times p") contingency table | Pearson’s ![\\chi^2](https://chart.apis.google.com/chart?cht=tx&chl=%5Cchi%5E2 "\chi^2") test         | `stats::chisq.test`    |
-| Paired       | ![n \\times p](https://chart.apis.google.com/chart?cht=tx&chl=n%20%5Ctimes%20p "n \times p") contingency table | McNemar’s ![\\chi^2](https://chart.apis.google.com/chart?cht=tx&chl=%5Cchi%5E2 "\chi^2") test         | `stats::mcnemar.tests` |
-| Frequency    | ![n \\times 1](https://chart.apis.google.com/chart?cht=tx&chl=n%20%5Ctimes%201 "n \times 1") contingency table | Goodness of fit (![\\chi^2](https://chart.apis.google.com/chart?cht=tx&chl=%5Cchi%5E2 "\chi^2") test) | `stats::chisq.test`    |
+| Type of data | Design                                                                                                         | Test                                                                                                  | Function used         |
+|--------------|----------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------|-----------------------|
+| Unpaired     | ![n \\times p](https://chart.apis.google.com/chart?cht=tx&chl=n%20%5Ctimes%20p "n \times p") contingency table | Pearson’s ![\\chi^2](https://chart.apis.google.com/chart?cht=tx&chl=%5Cchi%5E2 "\chi^2") test         | `stats::chisq.test`   |
+| Paired       | ![n \\times p](https://chart.apis.google.com/chart?cht=tx&chl=n%20%5Ctimes%20p "n \times p") contingency table | McNemar’s ![\\chi^2](https://chart.apis.google.com/chart?cht=tx&chl=%5Cchi%5E2 "\chi^2") test         | `stats::mcnemar.test` |
+| Frequency    | ![n \\times 1](https://chart.apis.google.com/chart?cht=tx&chl=n%20%5Ctimes%201 "n \times 1") contingency table | Goodness of fit (![\\chi^2](https://chart.apis.google.com/chart?cht=tx&chl=%5Cchi%5E2 "\chi^2") test) | `stats::chisq.test`   |
 
 Following effect sizes (and confidence intervals/CI) are available for
 each type of test-
@@ -1225,25 +1225,25 @@ packages are also supported by `ggcoefstats`. For example-
 `biglm`, `blavaan`, `bmlm`, `blmerMod`, `bracl`, `brglm`, `brglm2`,
 `brmsfit`, `brmultinom`, `btergm`, `cch`, `censReg`, `cgam`, `cgamm`,
 `cglm`, `clm`, `clm2`, `clmm`, `clmm2`, `coeftest`, `complmrob`,
-`confusionMatrix`, `coxme`, `coxph`, `coxph.penal`, `cpglm`, `cpglmm`,
-`crch`, `crq`, `crr`, `DirichReg`, `drc`, `eglm`, `elm`, `emmGrid`,
-`epi.2by2`, `ergm`, `feis`, `felm`, `fitdistr`, `fixest`, `flexsurvreg`,
-`gam`, `Gam`, `gamlss`, `garch`, `geeglm`, `glmc`, `glmerMod`,
-`glmmTMB`, `gls`, `glht`, `glm`, `glmm`, `glmmadmb`, `glmmPQL`,
-`glmRob`, `glmrob`, `glmx`, `gmm`, `HLfit`, `hurdle`, `ivFixed`,
-`ivprobit`, `ivreg`, `iv_robust`, `lavaan`, `lm`, `lm.beta`, `lmerMod`,
-`lmerModLmerTest`, `lmodel2`, `lmRob`, `lmrob`, `lm_robust`, `logitmfx`,
-`logitor`, `logitsf`, `LORgee`, `lqm`, `lqmm`, `lrm`, `manova`, `maov`,
-`margins`, `mcmc`, `mcmc.list`, `MCMCglmm`, `mclogit`, `mice`,
-`mmclogit`, `mediate`, `metafor`, `merMod`, `merModList`, `metaplus`,
-`mixor`, `mjoint`, `mle2`, `mlm`, `multinom`, `negbin`, `negbinmfx`,
-`negbinirr`, `nlmerMod`, `nlrq`, `nlreg`, `nls`, `orcutt`, `orm`, `plm`,
-`poissonmfx`, `poissonirr`, `polr`, `ridgelm`, `riskRegression`,
-`rjags`, `rlm`, `rlmerMod`, `robmixglm`, `rq`, `rqs`, `rqss`, `rrvglm`,
-`scam`, `semLm`, `semLme`, `slm`, `speedglm`, `speedlm`, `stanfit`,
-`stanreg`, `summary.lm`, `survreg`, `svyglm`, `svyolr`, `svyglm`,
-`tobit`, `truncreg`, `varest`, `vgam`, `vglm`, `wbgee`, `wblm`,
-`zeroinfl`, etc.
+`confusionMatrix`, `coxme`, `coxph`, `coxr`, `coxph.penal`, `cpglm`,
+`cpglmm`, `crch`, `crq`, `crr`, `DirichReg`, `drc`, `eglm`, `elm`,
+`emmGrid`, `epi.2by2`, `ergm`, `feis`, `felm`, `fitdistr`, `fixest`,
+`flexsurvreg`, `gam`, `Gam`, `gamlss`, `garch`, `geeglm`, `glmc`,
+`glmerMod`, `glmmTMB`, `gls`, `glht`, `glm`, `glmm`, `glmmadmb`,
+`glmmPQL`, `glmRob`, `glmrob`, `glmx`, `gmm`, `HLfit`, `hurdle`,
+`ivFixed`, `ivprobit`, `ivreg`, `iv_robust`, `lavaan`, `lm`, `lm.beta`,
+`lmerMod`, `lmerModLmerTest`, `lmodel2`, `lmRob`, `lmrob`, `lm_robust`,
+`logitmfx`, `logitor`, `logitsf`, `LORgee`, `lqm`, `lqmm`, `lrm`,
+`manova`, `maov`, `margins`, `mcmc`, `mcmc.list`, `MCMCglmm`, `mclogit`,
+`mice`, `mmclogit`, `mediate`, `metafor`, `merMod`, `merModList`,
+`metaplus`, `mixor`, `mjoint`, `mle2`, `mlm`, `multinom`, `negbin`,
+`negbinmfx`, `negbinirr`, `nlmerMod`, `nlrq`, `nlreg`, `nls`, `orcutt`,
+`orm`, `plm`, `poissonmfx`, `poissonirr`, `polr`, `ridgelm`,
+`riskRegression`, `rjags`, `rlm`, `rlmerMod`, `robmixglm`, `rq`, `rqs`,
+`rqss`, `rrvglm`, `scam`, `semLm`, `semLme`, `slm`, `speedglm`,
+`speedlm`, `stanfit`, `stanreg`, `summary.lm`, `survreg`, `svyglm`,
+`svyolr`, `svyglm`, `tobit`, `truncreg`, `varest`, `vgam`, `vglm`,
+`wbgee`, `wblm`, `zeroinfl`, etc.
 
 Although not shown here, this function can also be used to carry out
 both frequentist, robust, and Bayesian random-effects meta-analysis.