Merge pull request #3 from arcaldwell49/jamovi

Update documentation

README.md

@@ -6,12 +6,14 @@ Status](https://travis-ci.com/arcaldwell49/SimplyAgree.svg?branch=master)](https
 [![Codecov test
 coverage](https://codecov.io/gh/arcaldwell49/SimplyAgree/branch/master/graph/badge.svg)](https://codecov.io/gh/arcaldwell49/SimplyAgree?branch=master)
 
-**This Package is still in development and has only recently implemented
-basic unit tests. USE WITH CAUTION**
-
-This is a R package for calculating absolute agreement and estimating
-the required sample size for a study attempting to estimate absolute
-agreement.
+`SimplyAgree` is an R package, and [jamovi](https://www.jamovi.org/)
+module, created to make agreement and reliability analyses easier for
+the average researcher. The functions within this package include simple
+tests of agreement (`agree_test`), agreement analysis for nested
+(`agree_nest`) and replicate data (`agree_reps`), and provide robust
+analyses of reliability (`reli_stats`). In addition, this package
+contains a set of functions to help when planning studies looking to
+assess measurement agreement (`blandPowerCurve`).
 
 ## Installing SimplyAgree
 
@@ -35,12 +37,10 @@ quantitative measurements: Exact test procedure and sample size
 calculation. *Statistics in Biopharmaceutical Research*, 1-8.
 <https://doi.org/10.1080/19466315.2019.1677495>
 
-Parker, R. A., Weir, C. J., Rubio, N., Rabinovich, R., Pinnock, H.,
-Hanley, J., McLoughan, L., Drost, E.M., Mantoani, L.C., MacNee, W., &
-McKinstry, B. (2016). Application of mixed effects limits of agreement
-in the presence of multiple sources of variability: exemplar from the
-comparison of several devices to measure respiratory rate in COPD
-patients. Plos one, 11(12), e0168321.
+Parker, R. A., et al (2016). Application of mixed effects limits of
+agreement in the presence of multiple sources of variability: exemplar
+from the comparison of several devices to measure respiratory rate in
+COPD patients. Plos one, 11(12), e0168321.
 <https://doi.org/10.1371/journal.pone.0168321>
 
 Zou, G. Y. (2013). Confidence interval estimation for the Bland–Altman
@@ -53,21 +53,19 @@ intraclass correlation coefficient and the SEM. *The Journal of Strength
 & Conditioning Research*, 19(1),
 231-240.<https://doi.org/10.1519/15184.1>
 
-Lu, Meng-Jie, Zhong, Wei-Hua, Liu, Yu-Xiu, Miao, Hua-Zhang, Li,
-Yong-Chang and Ji, Mu-Huo. “Sample Size for Assessing Agreement between
+Lu, Meng-Jie, et al (2016). “Sample Size for Assessing Agreement between
 Two Methods of Measurement by Bland−Altman Method” *The International
-Journal of Biostatistics*, vol. 12, no. 2, 2016.
+Journal of Biostatistics*, 12(2),
 <https://doi.org/10.1515/ijb-2015-0039>
 
 King, TS and Chinchilli, VM. (2001). A generalized concordance
 correlation coefficient for continuous and categorical data. *Statistics
 in Medicine*, 20, 2131:2147.
 
-King, TS; Chinchilli, VM; Carrasco, JL. (2007). A repeated measures
+King, TS, Chinchilli, VM, and Carrasco, JL. (2007). A repeated measures
 concordance correlation coefficient. *Statistics in Medicine*, 26,
 3095:3113.
 
-Carrasco, JL; Phillips, BR; Puig-Martinez, J; King, TS; Chinchilli, VM.
-(2013). Estimation of the concordance correlation coefficient for
-repeated measures using SAS and R. *Computer Methods and Programs in
-Biomedicine*, 109, 293-304.
+Carrasco, JL, et al. (2013). Estimation of the concordance correlation
+coefficient for repeated measures using SAS and R. *Computer Methods and
+Programs in Biomedicine*, 109, 293-304.

docs/pkgdown.yml

@@ -4,5 +4,5 @@ pkgdown_sha: ~
 articles:
   intro_vignette: intro_vignette.html
   reanalysis: reanalysis.html
-last_built: 2021-05-04T18:15Z
+last_built: 2021-05-04T22:20Z