 Welcome everyone. My name is Lazarus. I am an assistant professor at the University of Classes Medical Center and Department of Statistics and Data Science. The objective of this poster presentation is to provide illustrations on the use of New York Z-R package which is used for generating mid-app arms circumference for age and body mass index for age Z-score and for centers for children and adolescents aged up to 19 years old based on the LMS method. So other nutritional status indicators include arms circumference for age, height for age, weight for age, and weight for height. The New York Z-R package was developed following a methodological paper published by Morama Ital in 2017 and currently focuses on computing the body mass index for age Z-score and New York for age Z-score and for centers as motivated by the research published by the World Health Organization and Center for Disease and Control with details given in these links. According to the research published by Morama Ital in 2017, the generalized additive model for location, scale, and shape which is GAM LSS was used to model the data using the Boxcox Coal Green Transformation. Other distributions including the Boxcox Power Exponential and Boxcox Tree Transformations were also evaluated. The method models Y against exposure variable X with four parameters mean sigma, the known tau. The coefficients L, M, and S were extracted from the model where L stands for coefficient of Boxcox Power, M stands for median, and S stands for coefficient of variation. For example, given an individual child with a given mark or BMI measurement Y at HT with corresponding L, M, and S values, the center can be calculated as shown in equation one. Initial Z-score can be calculated using this equation two here by plugging in the parameters required and an adjusted Z-score for the individual calculated using this equation three with the details provided below here. Now, to use this package, install install it in R by typing installed packages merexz, load the package by typing library merexz, and you can find more details of the package by typing help package equal to merexz. The package currently contains these functions shown here and below I give a few examples. So the output shows all the variables in the data plus the Z-score and the percentile. For example, for this given data with the edge sex and merex and edge range, we see the data plus the new variables merexz and percentile. This is the Z-scores and percentiles. The same down here is the Z-scores and percentiles and the Z-scores for the BMI and percentiles. And if you have bought merex and BMI, you can also get this output which has both Z-scores and percentiles for both merex and BMI. Using the plot functions plot BMI or plot merex, we can generate growth charts for Z-scores when we specify the option graph type equal to Z-score and the plot is as shown on our left hand side. So this one here is the growth charts for showing Z-scores. And if we change the option to percentile, this graph type here, when we change to percentile, we see this kind of graph. This is a graph chart, a growth chart showing the percentiles. The Y-scales is merex in centimeters and the X-scale is edge in months. So in conclusion, we can say that merexzR package is user-friendly and freely available to researchers and medical practitioners working on children and adolescents up to 19 years old in order to assist the nutritional status and alleviate further health risks by providing resources and intervention where they are needed most. Thank you everybody.