README.md

PMerc

Pariculate Matter (PM) Exposure-Response Curves (ERCs)

This R provides a lean set of code for computing specific values from an exposure-response curve developed using the bercs R package. This package contains two elements:

To install PMerc, use the following commands:

devtools::install_github("jpkeller/PMerc")

Example: PM-ALRI Curve Values

library(PMerc)
library(splines2)

data(nepal_pm_alri)

compute_OR2(
    expsequence = c(35, 37.5, 50, 75, 100, 150, 200, 400),
    ref_exposure=50,
    ciband=0.95,
    beta_post=nepal_pm_alri$posterior_params$beta,
    bs_post=nepal_pm_alri$posterior_params$bS,
    xdf=nepal_pm_alri$model_data$xdf,
    nS=nepal_pm_alri$model_data$S,
    Mx=nepal_pm_alri$model_data$Mx,
    Mx_attributes = nepal_pm_alri$model_data$Mx_attributes)
##   exposure logOR_mean   logOR_low logOR_high   OR_mean    OR_low  OR_high study
## 1     35.0 -0.8275990 -2.19826068  0.1925011 0.4370975 0.1109960 1.212278     1
## 2     37.5 -0.7724221 -2.03520848  0.1714126 0.4618929 0.1306532 1.186980     1
## 3     50.0  0.0000000  0.00000000  0.0000000 1.0000000 1.0000000 1.000000     1
## 4     75.0  0.6184297  0.05759951  1.1865671 1.8560112 1.0592907 3.275816     1
## 5    100.0  0.9871702  0.42800539  1.5537510 2.6836296 1.5341944 4.729176     1
## 6    150.0  1.2221348  0.63530381  1.8084508 3.3944265 1.8875955 6.100989     1
## 7    200.0  1.1964850  0.62168084  1.7741433 3.3084673 1.8620552 5.895229     1
## 8    400.0  0.9678931  0.39970055  1.5364891 2.6323924 1.4913780 4.648242     1

Community guidelines

If you have a bug to report, are having technical issues, or want to recommend features, please open a Github Issue.



jpkeller/PMerc documentation built on Sept. 11, 2020, 12:27 a.m.