ci_t: Calculate confidence intervals using the t-distribution
In MendelianRandomization: Mendelian Randomization Package
View source: R/ExtraFunctions.R
ci_t R Documentation
Calculate confidence intervals using the t-distribution
Description
Internal function for calculating confidence intervals using the t-distribution.
Usage
ci_t(type, mean, se, df, alpha)
Arguments
type
"l" for lower, "u" for upper.
mean
Causal estimate.
se
Standard error of estimate.
df
Number of degrees of freedom.
alpha
Significance level.
Details
None.
Value
Numeric value of confidence interval limit.
Examples
ci_t(type = "l", mean = 0, se = 1, df = 8, alpha = 0.05)
MendelianRandomization documentation built on Aug. 9, 2023, 1:05 a.m.
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View source: R/ExtraFunctions.R
| ci_t | R Documentation |
Calculate confidence intervals using the t-distribution
Description
Internal function for calculating confidence intervals using the t-distribution.
Usage
ci_t(type, mean, se, df, alpha)
Arguments
type |
"l" for lower, "u" for upper. |
mean |
Causal estimate. |
se |
Standard error of estimate. |
df |
Number of degrees of freedom. |
alpha |
Significance level. |
Details
None.
Value
Numeric value of confidence interval limit.
Examples
ci_t(type = "l", mean = 0, se = 1, df = 8, alpha = 0.05)
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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