c_weight | One iteration to run Newton Raphson to get c-optimal weights |
c_weight_1 | The first derivative of the c-optimality criterion w.r.t the... |
c_weight_2 | The second derivative of the c-optimality criterion with... |
D1 | Computing each element of the function c_weight_1 |
d11 | Computing each element of the function DD_weight_1 |
DD1 | Computing each element of the function c_weight_2 |
dd11 | Computing each element of the function DD_weight_2 |
DD_weight | One iteration to run Newton Raphson to get Ds-optimal weights |
DD_weight_1 | The first derivative of the Ds-optimality criterion with... |
DD_weight_2 | The second derivative of the Ds-optimality criterion with... |
Deff | Obtaining D-efficiency for estimating model parameters |
Dp | Target dose, EDp |
DS1 | Sensitivity function of c-optimality criterion for the EDp |
ds11 | Sensitivity function of Ds-optimality criterion |
Dseff | Obtaining Ds-efficiency for estimating the asymmetric factor... |
DsOPT | Search Ds-optimal design for estimating the asymmetric factor... |
D_weight | One iteration to run Newton Raphson to get D-optimal weights |
D_weight_1 | The first derivative of the D-optimality criterion w.r.t the... |
D_weight_2 | The second derivative of the D-optimality criterion w.r.t the... |
EDpeff | Obtaining c-efficiency for estimating the EDp under the... |
EDpOPT | Search c-optimal designs for estimating the EDp under the... |
f | Gradient of the mean function |
g | Partial derivative of the EDp with respect to the model... |
ginv | Generalized Inverse Matrix |
infor | Obtain a information matrix at a single design point |
Inv | Adjusting invere information matrix being not singular |
Minus | Matrix subtraction |
Multiple | Matrix multiplication |
Plus | Matrix addition |
RDOPT | Search the robust D-optimal designs for estimating model... |
SDM | Summation of diagonal elements in a matrix |
smalld1 | Sub-function of the function D_weight_1 |
smalldd1 | Sub-function of the function D_weight_2 |
smallds1 | Sensitivity function of D-optimality criterion |
sMultiple | Multiply a constant to a matrix |
S_weight | Newton Raphson method to get optimal weights |
Trans | Transpose of a matrix |
upinfor | Obtain normalized Fisher information matrix |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.