ptest: Significance test for bootstrapped coefficients
In treeclim: Numerical Calibration of Proxy-Climate Relationships
ptest R Documentation
Significance test for bootstrapped coefficients
Description
For internal use only.
Usage
ptest(bc, ci, c0 = NULL, method)
Arguments
bc
the parameter matrix as returned from correlation of the
bootstapped samples (n * 1000 matrix, with n = number of
parameters)
ci
confidence level, one of c(0.01, 0.05, 0.1)
c0
for weibull: correlation vector for original model
method
method for significance test
Value
a logical vector indicating significance
treeclim documentation built on March 18, 2022, 7:22 p.m.
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| ptest | R Documentation |
Significance test for bootstrapped coefficients
Description
For internal use only.
Usage
ptest(bc, ci, c0 = NULL, method)
Arguments
bc |
the parameter matrix as returned from correlation of the bootstapped samples (n * 1000 matrix, with n = number of parameters) |
ci |
confidence level, one of c(0.01, 0.05, 0.1) |
c0 |
for weibull: correlation vector for original model |
method |
method for significance test |
Value
a logical vector indicating significance
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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