nlme_gene_fit: Mixed Effects Gene Model Fit
In chapmandu2/pgxsim: Simulate Dose Response Curves For Pharmacogenomics Analysis
Description
Usage
Arguments
Value
Examples
View source: R/nlme_gene_fit.R
Description
Fit a dose response curve using nlme and including the genetic effect as a covariate
Usage
1
Arguments
df
A data frame with column names resp, conc, gene and cell_id.
Value
an object of class 'nlme' representing the nonlinear mixed-effects model fit.
Examples
1
2
3
4
data(drc_data_small)
fit <- nlme_gene_fit(drc_data_small)
fit
nlme_gene_extract(fit)
chapmandu2/pgxsim documentation built on May 6, 2019, 10:13 a.m.
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Description Usage Arguments Value Examples
View source: R/nlme_gene_fit.R
Description
Fit a dose response curve using nlme and including the genetic effect as a covariate
Usage
1 |
Arguments
df |
A data frame with column names resp, conc, gene and cell_id. |
Value
an object of class 'nlme' representing the nonlinear mixed-effects model fit.
Examples
1 2 3 4 | data(drc_data_small)
fit <- nlme_gene_fit(drc_data_small)
fit
nlme_gene_extract(fit)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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