項目 | 説明 |
ACF | 自己相関 |
ACF.gls | gls 残差の自己相関関数 |
ACF.lme | lme 残差の自己相関関数 |
Alfalfa | アルファルファの多様性実験の分割プロット |
Assay | 細胞培養プレートの生物学的検定(法)(Bioassay on Cell Culture Plate) |
BIC | ベイズ情報規準量(Bayesian Information Criterion) |
BIC.logLik | logLik オブジェクトのBIC |
BodyWeight | 長期間異なった食事制限をしたラットの体重 |
Cefamandole | Pharmacokinetics of Cefamandole |
Coef | 値を係数に代入 |
Covariate | 共変量値代入 |
Covariate.varFunc | varFunc 共変量代入 |
Dialyzer | High-Flux 血液透析器 |
Dim | オブジェクトより、大きさ(Dimensions) を抽出 |
Dim.corSpatial | corSpatial オブジェクトの大きさ |
Dim.corStruct | corStruct オブジェクトの大きさ |
Dim.pdMat | pdMat オブジェクトの大きさ |
Earthquake | 地震強度 |
[.pdMat | Subscript a pdMat Object |
Fatigue | 金属疲労による亀裂 |
Gasoline | ガソリン生成生産量(Refinery yield of gasoline) |
Glucose | 時系列のグルコース・レベル |
Glucose2 | アルコール摂取後のグルコース・レベル(Glucose Levels Following Alcohol Ingestion) |
Gun | 海軍の銃の発射方法 |
IGF | IGF-Iのたんぱく質の放射免疫測定(Radioimmunoassay of IGF-I Protein) |
Initialize | オブジェクトの初期化 |
Initialize.corStruct | corStruct オブジェクトの初期化 |
Initialize.glsStruct | glsStruct オブジェクトの初期化 |
Initialize.lmeStruct | lmeStruct オブジェクトの初期化 |
Initialize.reStruct | reStruct オブジェクトの初期化 |
Initialize.varFunc | varFunc オブジェクトの初期化 |
LDEsysMat | LDEのシステム・マトリックスを生成 |
Machines | 機械と労働者の生産性スコア(Productivity Scores for Machines and Workers) |
MathAchSchool | School demographic data for MathAchieve |
MathAchieve | 数学習得得点(Mathematics achievement scores) |
Matrix | Matrix 値の代入 |
Matrix.pdMat | オブジェクトにマトリックスを代入 |
Matrix.reStruct | reStruct マトリックスの代入 |
Meat | 肉の柔らかさ(Tenderness of meat) |
Milk | 牛乳のたんぱく質分 |
Muscle | Contraction of heart muscle sections |
Names | Names Associated with an Object |
Names.formula | Extract Names from a formula |
Names.pdBlocked | Names of a pdBlocked Object |
Names.pdMat | Names of a pdMat Object |
Names.reStruct | Names of an reStruct Object |
Nitrendipene | Assay of nitrendipene |
Oats | Split-plot Experiment on Varieties of Oats |
Orthodont | Growth curve data on an orthdontic measurement |
Ovary | Counts of Ovarian Follicles |
Oxboys | Oxfordの少年の身長 |
Oxide | Variability in Semiconductor Manufacturing |
PBG | Effect of Phenylbiguanide on Blood Pressure |
Phenobarb | Phenobarbitol Kinetics |
Pixel | X-ray pixel intensities over time |
Quinidine | Quinidine Kinetics |
Rail | Evaluation of Stress in Railway Rails |
RatPupWeight | The weight of rat pups |
Relaxin | Assay for Relaxin |
Remifentanil | Pharmacokinetics of remifentanil |
Soybean | 大豆植物(soybean plants)の成長 |
Spruce | Growth of Spruce Trees |
Tetracycline1 | Pharmacokinetics of tetracycline |
Tetracycline2 | Pharmacokinetics of tetracycline |
VarCorr | 相関成分の分散の抽出 |
Variogram | セミバリオグラム計算 |
Variogram.corExp | CalccorExp オブジェクトのセミバリオグラムの計算 |
Variogram.corGaus | corGaus オブジェクトのセミバリオグラムの計算 |
Variogram.corLin | corLin オブジェクトのセミバリオグラムの計算 |
Variogram.corRatio | corRatio オブジェクトのセミバリオグラムの計算 |
Variogram.corSpatial | corSpatial オブジェクトのセミバリオグラムの計算 |
Variogram.corSpher | corSpher オブジェクトのセミバリオグラムの計算 |
Variogram.default | セミバリオグラムの計算 |
Variogram.gls | gls オブジェクトより残差のセミバリオグラムの計算 |
Variogram.lme | lme オブジェクトより残差のセミバリオグラムの計算 |
Wafer | Modeling of Analog MOS Circuits |
Wheat | Yields by growing conditions |
Wheat2 | Wheat Yield Trials |
allCoef | Extract Coefficients from a Set of Objects |
anova.gls | Compare Likelihoods of Fitted Objects |
anova.lme | Compare Likelihoods of Fitted Objects |
as.matrix.corStruct | Matrix of a corStruct Object |
as.matrix.pdMat | Matrix of a pdMat Object |
as.matrix.reStruct | Matrices of an reStruct Object |
asOneFormula | Combine Formulas of a Set of Objects |
asTable | Convert groupedData to a matrix |
augPred | Augmented Predictions |
balancedGrouped | Create a groupedData object from a matrix |
bdf | Language scores |
coef.corStruct | Coefficients of a corStruct Object |
coef.gnls | Extract gnls Coefficients |
coef.lmList | Extract lmList Coefficients |
coef.lme | Extract lme Coefficients |
coef.modelStruct | Extract modelStruct Object Coefficients |
coef.pdMat | pdMat Object Coefficients |
coef.reStruct | reStruct Object Coefficients |
coef.varFunc | varFunc Object Coefficients |
collapse | Collapse According to Groups |
collapse.groupedData | Collapse a groupedData Object |
compareFits | Compare Fitted Objects |
comparePred | 予測値の比較 |
contr.SAS | Contrast Matrices |
corAR1 | AR(1) 相関構造 |
corARMA | ARMA(p,q) 相関構造 |
corCAR1 | 連続的AR(1) 相関構造 |
corClasses | 相関構造クラス |
corCompSymm | 複合対称相関構造 |
corExp | 指数相関構造 |
corFactor | 相関行列のファクター |
corFactor.corStruct | corStruct オブジェクト・マトリックスのファクター |
corGaus | ガウス相関構造 |
corLin | 線形相関構造 |
corMatrix | 相関マトリックスの抽出 |
corMatrix.corStruct | corStruct オブジェクト・マトリックス |
corMatrix.pdMat | Extract Correlation Matrix from a pdMat Object |
corMatrix.reStruct | Extract Correlation Matrix from Components of an reStruct Object |
corNatural | General correlation in natural parameterization |
corRatio | Rational Quadratic Correlation Structure |
corSpatial | 空間相関構造 |
corSpher | Spherical Correlation Structure |
corSymm | General Correlation Structure |
ergoStool | Ergometrics experiment with stool types |
fdHess | Finite difference Hessian |
fitted.glsStruct | Calculate glsStruct Fitted Values |
fitted.gnlsStruct | Calculate gnlsStruct Fitted Values |
fitted.lmList | Extract lmList Fitted Values |
fitted.lme | Extract lme Fitted Values |
fitted.lmeStruct | Calculate lmeStruct Fitted Values |
fitted.nlmeStruct | Calculate nlmeStruct Fitted Values |
fixed.effects | Extract Fixed Effects |
fixef.lmList | Extract lmList Fixed Effects |
formula.pdBlocked | Extract pdBlocked Formula |
formula.pdMat | Extract pdMat Formula |
formula.reStruct | Extract reStruct Object Formula |
gapply | Apply a Function by Groups |
getCovariate | Extract Covariate from an Object |
getCovariate.corStruct | Extract corStruct Object Covariate |
getCovariate.data.frame | Extract Data Frame Covariate |
getCovariate.varFunc | Extract varFunc Covariate |
getCovariateFormula | Extract Covariates Formula |
getData | Extract Data from an Object |
getData.gls | Extract gls Object Data |
getData.lmList | Extract lmList Object Data |
getData.lme | Extract lme Object Data |
getGroups | Extract Grouping Factors from an Object |
getGroups.corStruct | Extract corStruct Groups |
getGroups.data.frame | Extract Groups from a Data Frame |
getGroups.gls | Extract gls Object Groups |
getGroups.lmList | Extract lmList Object Groups |
getGroups.lme | Extract lme Object Groups |
getGroups.varFunc | Extract varFunc Groups |
getGroupsFormula | Extract Grouping Formula |
getResponse | Extract Response Variable from an Object |
getResponseFormula | Extract Formula Specifying Response Variable |
getVarCov | Extract variance-covariance matrix |
gls | Fit Linear Model Using Generalized Least Squares |
glsControl | Control Values for gls Fit |
glsObject | Fitted gls Object |
glsStruct | 一般化最小二乗構造 |
gnls | Fit Nonlinear Model Using Generalized Least Squares |
gnlsControl | Control Values for gnls Fit |
gnlsObject | Fitted gnls Object |
gnlsStruct | Generalized Nonlinear Least Squares Structure |
groupedData | Construct a groupedData Object |
gsummary | Summarize by Groups |
intervals | Confidence Intervals on Coefficients |
intervals.gls | Confidence Intervals on gls Parameters |
intervals.lmList | Confidence Intervals on lmList Coefficients |
intervals.lme | Confidence Intervals on lme Parameters |
isBalanced | Check a Design for Balance |
isInitialized | Check if Object is Initialized |
lmList | List of lm Objects with a Common Model |
lmList.groupedData | lmList Fit from a groupedData Object |
lme | Linear Mixed-Effects Models |
lme.groupedData | LME fit from groupedData Object |
lme.lmList | LME fit from lmList Object |
lmeControl | Control Values for lme Fit |
lmeObject | Fitted lme Object |
lmeScale | Scale for lme Optimization |
lmeStruct | Linear Mixed-Effects Structure |
logDet | Extract the Logarithm of the Determinant |
logDet.corStruct | Extract corStruct Log-Determinant |
logDet.pdMat | Extract Log-Determinant from a pdMat Object |
logDet.reStruct | Extract reStruct Log-Determinants |
logLik.corStruct | Extract corStruct Log-Likelihood |
logLik.glsStruct | Log-Likelihood of a glsStruct Object |
logLik.gnls | Log-Likelihood of a gnls Object |
logLik.gnlsStruct | Log-Likelihood of a gnlsStruct Object |
logLik.lmList | Log-Likelihood of an lmList Object |
logLik.lme | Log-Likelihood of an lme Object |
logLik.lmeStruct | Log-Likelihood of an lmeStruct Object |
logLik.reStruct | Calculate reStruct Log-Likelihood |
logLik.varFunc | Extract varFunc logLik |
model.matrix.reStruct | reStruct Model Matrix |
needUpdate | Check if Update is Needed |
needUpdate.modelStruct | Check if a modelStruct Object Needs Updating |
nlme | Nonlinear Mixed-Effects Models |
nlme.nlsList | NLME fit from nlsList Object |
nlmeControl | Control Values for nlme Fit |
nlmeObject | Fitted nlme Object |
nlmeStruct | Nonlinear Mixed-Effects Structure |
nlsList | List of nls Objects with a Common Model |
nlsList.selfStart | nlsList Fit from a selfStart Function |
pairs.compareFits | Pairs Plot of compareFits Object |
pairs.lmList | Pairs Plot of an lmList Object |
pairs.lme | Pairs Plot of an lme Object |
pdBlocked | Positive-Definite Block Diagonal Matrix |
pdClasses | Positive-Definite Matrix Classes |
pdCompSymm | Positive-Definite Matrix with Compound Symmetry Structure |
pdConstruct | pdMat オブジェクトの構築 |
pdConstruct.pdBlocked | Construct pdBlocked Objects |
pdDiag | Diagonal Positive-Definite Matrix |
pdFactor | Square-Root Factor of a Positive-Definite Matrix |
pdFactor.reStruct | Extract Square-Root Factor from Components of an reStruct Object |
pdIdent | Multiple of the Identity Positive-Definite Matrix |
pdLogChol | General Positive-Definite Matrix |
pdMat | Positive-Definite Matrix |
pdMatrix | Extract Matrix or Square-Root Factor from a pdMat Object |
pdMatrix.reStruct | Extract Matrix or Square-Root Factor from Components of an reStruct Object |
pdNatural | General Positive-Definite Matrix in Natural Parametrization |
pdSymm | General Positive-Definite Matrix |
phenoModel | Model function for the Phenobarb data |
plot.ACF | ACF オブジェクトのプロット |
plot.Variogram | バリオグラム・オブジェクトのプロット |
plot.augPred | augPred オブジェクトのプロット |
plot.compareFits | compareFits オブジェクトのプロット |
plot.gls | gls オブジェクトのプロット |
plot.intervals.lmList | lmList 信頼区間のプロット |
plot.lmList | lmList オブジェクトのプロット |
plot.lme | lme または nls オブジェクトのプロット |
plot.nffGroupedData | nffGroupedData オブジェクトのプロット |
plot.nfnGroupedData | nfnGroupedData オブジェクトのプロット |
plot.nmGroupedData | nmGroupedData オブジェクトのプロット |
plot.ranef.lmList | ranef.lmList オブジェクトのプロット |
plot.ranef.lme | ranef.lme オブジェクトのプロット |
pooledSD | 合併標準偏差(Pooled Standard Deviation)の抽出 |
predict.gls | gls オブジェクトの予測 |
predict.gnls | gnls オブジェクトの予測 |
predict.lmList | lmList オブジェクトの予測 |
predict.lme | lme オブジェクトの予測 |
predict.nlme | nlme オブジェクトの予測 |
print.summary.pdMat | summary.pdMat オブジェクトのプリント |
print.varFunc | varFunc オブジェクトのプリント |
qqnorm.gls | gls オブジェクトの残差の正規プロット(Normal Plot) |
qqnorm.lme | Normal Plot of Residuals or Random Effects from an lme Object |
quinModel | Model function for the Quinidine data |
random.effects | ランダムの効果の抽出 |
ranef.lmList | lmList ランダムの効果の抽出 |
ranef.lme | lme ランダムの効果の抽出 |
reStruct | ランダムの効果の構造 |
recalc | 線形モデルオブジェクトの再計算 |
recalc.corStruct | corStruct オブジェクトの再計算 |
recalc.modelStruct | modelStruct オブジェクトの再計算 |
recalc.reStruct | reStruct オブジェクトの再計算 |
recalc.varFunc | varFunc オブジェクトの再計算 |
residuals.gls | gls 残差の抽出 |
residuals.glsStruct | glsStruct 残差の計算 |
residuals.gnlsStruct | gnlsStruct 残差の計算 |
residuals.lmList | lmList 残差の抽出 |
residuals.lme | lme 残差の抽出 |
residuals.lmeStruct | lmeStruct 残差の計算 |
residuals.nlmeStruct | nlmeStruct 残差の計算 |
simulate.lme | lme モデルのシミュレート |
solve.pdMat | Calculate Inverse of a Positive-Definite Matrix |
solve.reStruct | Apply Solve to an reStruct Object |
splitFormula | 式を分割する |
summary.corStruct | corStruct オブジェクトの要約 |
summary.gls | gls オブジェクトの要約 |
summary.lmList | lmList オブジェクトの要約 |
summary.lme | lme オブジェクトの要約 |
summary.modelStruct | modelStruct オブジェクトの要約 |
summary.nlsList | nlsList オブジェクトの要約 |
summary.pdMat | pdMat オブジェクトの要約 |
summary.varFunc | varFunc オブジェクトの要約 |
update.modelStruct | modelStruct オブジェクトの更新 |
update.varFunc | varFunc オブジェクトの更新 |
varClasses | 分散関数クラス |
varComb | 分散関数の組み合わせ |
varConstPower | 定数+パワー分散関数 |
varExp | 指数分散関数 |
varFixed | 固定分散関数(Fixed Variance Function) |
varFunc | 分散関数構造(Variance Function Structure) |
varIdent | Constant Variance Function |
varPower | パワー分散関数(Power Variance Function) |
varWeights | 分散関数のウェイトの抽出 |
varWeights.glsStruct | glsStruct オブジェクトの分散ウェイト |
varWeights.lmeStruct | lmeStruct オブジェクトの分散ウェイト |